JP2006263454A - Biological information detecting apparatus and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biological information detecting apparatus for detecting the heart beat, respiration, lying posture, lying position and entering and leaving the bed by comparing the shape of a reference waveform with the shape of a measured waveform. <P>SOLUTION: This biological information detecting apparatus 1 includes: a sensor part 11 provided with a pressure detecting sensor for detecting the pressure caused from an organism and propagated through bedding; a reference waveform storing part 131 for previously storing a shape pattern of a reference waveform which is substantially common to the respective solid bodies of an organism corresponding to the biological information to be detected; and an biological information detecting part 141 for generating a measured waveform showing an output change of the sensor part 11 to the passage of time from the output of the sensor part 11, and comparing the shape pattern of the generated measured waveform with the shape pattern of reference waveform to detect the biological information and output the detected detection result. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a biological information detection device and a biological information detection method for detecting biological information such as heartbeat, breathing, snoring, sleeping posture, sleeping position, and entrance / exit.

  In recent years, devices for detecting various states and positions of living bodies while sleeping have been researched and developed. For example, there are Patent Document 1 and Patent Document 2.

  This patent document 1 discloses a sleeping state determination device that detects the degree of sleep during sleeping. This sleeping state determination apparatus includes vibration detection means for detecting vibration information of a living body on bedding, characteristic analysis means for analyzing characteristic information of an output signal of the vibration detection means, and waveform waveforms of amplitude, heartbeat, and respiration. Storage means that prestores feature information in a resting state, such as an occupancy ratio for all waveforms of components and a frequency of a peak waveform, and the feature information analyzed by the feature analysis means and the feature information stored in the storage means It comprises a determining means for comparing and determining the degree of rest, and an informing means for informing based on the determination result of the determining means.

Patent Document 2 discloses a sleeping device that detects a sleeping position. This sleeping device is provided on both the left and right sides of the bedding, and detects a vibration transmitted on the bedding due to body movement generated by the sleeping person's turning over, heart activity or respiratory activity, and an output signal of each of the piezoelectric elements. Signal conversion means for processing, and when each of the piezoelectric elements detects vibrations transmitted on the bedding due to body movements caused by heart activity and respiratory activity of the human body when the human body is located in the center of the bedding, Storage means for storing the output of the signal conversion means obtained corresponding to each piezoelectric element as a reference value, and calculating the difference between the output of the signal conversion means and the reference value corresponding to each piezoelectric element, The difference value corresponding to the piezoelectric element provided on the left side of the bedding is subtracted from the difference value corresponding to the piezoelectric element provided on the right side of the bedding, and on the bedding based on the subtraction value A comparison determination unit for determining the position of the body, and an output means for outputting the judgment result of said comparison and determination means.
JP-A-8-317909 Japanese Patent No. 2830661

  By the way, in the sleeping apparatus disclosed in Patent Document 2, it is necessary to measure the reference value of the user in advance. For this reason, it is inconvenient that it takes time and effort to measure the user's reference value, and the user must measure the reference value. However, not everyone can easily execute it. Moreover, in the said patent document 1 and the patent document 2, it compares with the predetermined threshold values, such as a reference value and feature information, and the present numerical value in bedtime, and determines the position and the sleep level in bedtime, It does not compare the waveform shape patterns indicating the change in output of the piezoelectric element over time obtained from the output of the element.

  The present invention has been made in view of the above circumstances, and by comparing the shape of the waveform indicating the change in output of the pressure detection sensor over time obtained from the output of the pressure detection sensor, the comparison result is obtained. An object of the present invention is to provide a biological information detection apparatus that detects biological information such as heartbeat, breathing, snoring, sleeping posture, sleeping position (sleeping position), and entering / leaving floor.

  The inventors have conducted various experiments and conducted extensive research, and as a result, the waveform corresponds to a certain kind of biological information such as sleeping posture and sleeping position, and is a time delay when pressure caused by the living body propagates. The shape of the waveform indicating the change in output of the sensor unit over time obtained by measuring the output of the sensor unit comprising a pressure detection sensor having a constant value and detecting the pressure propagating through the bedding over a predetermined period We found that there was no individual difference in the pattern. Therefore, by adopting such a waveform as a reference waveform and incorporating it in the apparatus in advance, and comparing the shape pattern of the measurement waveform obtained from the user with the shape pattern of this reference waveform, the sleeping posture, sleeping position, entrance / exit, etc. It has been found that certain kinds of biological information can be detected.

  Furthermore, the inventors have found that biological information such as heartbeat and respiration can be detected with higher accuracy by using a reference waveform having a shape that best matches the shape of the measurement waveform and the measurement waveform.

  Therefore, a living body information detection apparatus according to an aspect of the present invention includes a sensor unit that includes a pressure detection sensor and detects pressure caused by a living body that propagates through bedding, and the living body corresponding to the living body information to be detected. A reference waveform storage unit that preliminarily stores a reference waveform shape pattern that is substantially common to each of the individual, and a measurement waveform that indicates an output change of the sensor unit over time from the output of the sensor unit, It comprises a biological information detection unit that detects biological information by comparing the shape pattern of the generated measurement waveform and the shape pattern of the reference waveform, and outputs the detected detection result.

  And in said living body information detection device, the shape pattern of the above-mentioned reference waveform is provided with a pressure detection sensor, and measures the output of the sensor part for detecting the pressure caused by the living body propagating through the bedding for a predetermined period. To generate an elementary waveform indicating an output change of the sensor unit over time, generate a plurality of the elementary waveforms, and form a waveform shape pattern obtained by averaging the plurality of generated elementary waveforms.

  Further, in these biological information detection devices, the reference waveform storage unit includes a plurality of reference waveforms corresponding to the posture of the living body that is sleeping, the position on the bedding in the living body that is sleeping, and the entrance / exit floor. A shape pattern is stored.

  Further, in these biological information detection devices, the biological information detection unit obtains a reference waveform having a shape that best matches the shape of the measurement waveform at different points in time, and the posture of the living body that is sleeping, and the living body that is sleeping At least one of a position on the bedding and an entrance / exit floor is detected as the biological information.

  Further, in these biological information detection devices, the biological information detection unit obtains a reference waveform having a shape that best matches the shape of the measurement waveform at different time points, and performs body movement based on the obtained plurality of reference waveforms. It is detected as the biological information.

  In these biological information detection devices, the biological information detection unit includes at least one of heartbeat, respiration, and snoring based on the reference waveform having the shape that best matches the obtained shape of the measurement waveform and the measurement waveform. It is characterized by seeking one.

  Further, these biological information detection devices further include a body movement detection unit that detects a body movement based on the output of the sensor unit and outputs a detection signal, and the biological information detection unit is detected from the body movement detection unit. When a signal is input, a reference waveform having a shape that best matches the shape of the measurement waveform is obtained by comparing the shape pattern of the measurement waveform with the shape pattern of the reference waveform, and At least one of a posture, a position on the bedding in the living body that is sleeping, and an entrance / exit floor is detected as the biological information.

  Furthermore, in these biological information detection devices, the body movement detection unit outputs the detection signal as detection of body movement when the output of the sensor unit exceeds a predetermined threshold.

  In these biological information detection devices, the body movement detection unit detects the body movement based on an output change of the sensor unit over time.

  Further, in these biological information detection devices, the body motion detection unit outputs the detection signal as detection of body motion when the output change of the sensor unit exceeds a predetermined threshold and exceeds a predetermined duration. It is characterized by doing.

  Furthermore, these biological information detection devices further include a reference waveform correction unit that corrects the amplitude of the reference waveform with the measurement waveform.

  In these biological information detection devices, the reference waveform correction unit corrects the shape pattern of the reference waveform with the measurement waveform.

  Moreover, in these biological information detection apparatuses, the pressure detection sensor includes a piezoelectric element.

  According to another aspect of the present invention, a living body that detects the biological information by storing in advance a shape pattern of a reference waveform that is substantially common to each individual of the living body corresponding to the biological information to be detected. An information detection method includes a detection step of detecting a pressure caused by the living body propagating through a bedding by a sensor unit including a pressure detection sensor, and an output change of the sensor unit with respect to time from an output of the sensor unit. Generating a reference waveform having a shape that best matches the shape of the measurement waveform by comparing the shape pattern of the measurement waveform generated in the generation step with the shape step of the reference waveform A comparison step to be obtained; a detection step for detecting biological information based on the reference waveform obtained in the comparison step; and a detection in the detection step And an outputting step of outputting a detection result.

  In the biological information detection apparatus and the biological information detection method configured as described above, the reference waveform storage unit stores in advance a reference waveform shape pattern that is substantially common to each individual of the living body corresponding to the biological information to be detected. Therefore, the user who purchased the biological information detection device can immediately start using the biological information detection device without measuring his / her reference waveform. Therefore, there is no need for labor and time for measuring the user's reference waveform, and anyone can easily handle it compared to the background art.

Embodiments according to the present invention will be described below with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted.
(Configuration of the embodiment)
FIG. 1 is a block diagram illustrating a configuration of the biological information detection apparatus according to the embodiment. 2A and 2B are diagrams illustrating an arrangement relationship between the sensor unit and the bedding, in which FIG. 2A shows a side view and FIG. 2B shows a top view.

  The biological information detection apparatus 1 according to this embodiment includes a reference waveform shape pattern that is substantially common to each individual of a living body corresponding to biological information such as a sleeping posture and a sleeping position (that is, an individual in each individual of the living body). The reference waveform shape pattern that does not substantially depend on the difference is stored in advance, and the change in the output of the pressure detection sensor over time from the output of the pressure detection sensor with a constant time delay when the pressure due to the living body propagates is stored. A reference waveform having a shape that best matches the shape of the measurement waveform is obtained by comparing the shape pattern of the generated measurement waveform with the shape pattern of the reference waveform. Is a device that detects biological information such as sleeping posture, sleeping position, bed entry / exit, heartbeat, breathing, and snoring, and outputs the detected detection result, for example, as shown in FIG. Sea urchin, a sensor unit 11, a signal generation circuit 12, a storage unit 13, a processing unit 14, an input unit 15, an output unit 16, and a bus 17.

  The sensor unit 11 is a pressure detection sensor that detects pressure caused by a living body on a bedding that propagates through the bedding, and is a pressure detection sensor that has a constant time delay when the pressure caused by the living body propagates. is there. Hereinafter, the pressure caused by the living body is referred to as “biological pressure”. For example, as shown in FIG. 2, the sensor unit 11 is arranged between a bedding ML such as a mattress on which the living body LB sits or lies and a bed BT on which the bedding ML is placed. An example is provided with a piezoelectric element. The area of the detection part (sensing part) for detecting the pressure of the sensor unit 11 may be a relatively large area or a relatively small area, and is arbitrary. Further, the arrangement position of the sensor unit 11 with respect to the living body may be an arbitrary place as long as the living body pressure can be detected, and depends on the pressure propagation rate in the bedding ML, the area of the detection part of the sensor unit 11, and the like. Since the pressure propagation rate in the bedding ML is high and the area of the detection part of the sensor unit 11 is large, the pressure is easily transmitted and the pressure is easily detected. Therefore, the sensor unit 11 is positioned away from the living body LB. It is also possible to arrange them. In the present embodiment, as shown in FIG. 2, the living body LB uses the pillow PI to bedding the living body pressure of the living body on the bedding propagating through the bedding more accurately. When lying on the approximate center of the ML, the portion of the living body LB from the neck of the living body LB to the chest is arranged to overlap the detection portion of the sensor unit 11. The living body pressure changes with time due to life support activities such as heart beating (beating) and breathing, and the living body LB moving each part of the body. Piezoelectric elements are known which are made of various materials such as piezoelectric ceramics such as lithium niobate, barium titanate and lead zirconate titanate, and piezoelectric polymers such as polyvinylidene fluoride. It may be a substantially circular sheet, a belt, a button, or a cable. The cable-shaped piezoelectric element is composed of, for example, a long linear center electrode, a piezoelectric body that covers the center electrode, and an outer electrode that covers the piezoelectric body, and is sensitive to any part of the cable. A device is known.

  The signal generation circuit unit 12 is a circuit that is connected to the sensor unit 11, converts analog biological pressure detected by the sensor unit 11 into digital biological pressure, and converts it into data in a format that can be processed by the arithmetic processing unit 14. For example, an analog / digital conversion circuit (hereinafter abbreviated as “A / D”) 123 that converts an analog signal into a digital signal is provided. Here, the signal generation circuit unit 12 is, for example, when the output of the sensor unit 11 is small because the area of the detection portion in the sensor unit 11 is small and / or the pressure propagation rate in the bedding ML is small. From the viewpoint of making it possible to more accurately detect a temporal change in the living body pressure, as shown by a broken line in FIG. 1, the output of the sensor unit 11 is amplified by a predetermined gain and sent to the A / D 123. An output amplifier circuit (hereinafter abbreviated as “Amp”) 121 may be further provided. Further, from the viewpoint of suppressing the so-called hum noise caused by the commercial power supply, as shown by a broken line in FIG. 1, a signal component larger than a predetermined frequency is cut from the output of Amp 121 and a signal component lower than the predetermined frequency is sent to A / D 123. An output low-pass filter circuit (hereinafter abbreviated as “LPF”) 122 may be further provided. The cutoff frequency of the LPF 122 is set to a predetermined frequency between 30 Hz and 50 Hz, for example, from the above viewpoint. Note that a band-pass filter circuit may be used in place of the LPF 122.

  The storage unit 13 functionally includes a reference waveform storage unit 131 that stores in advance a reference waveform shape pattern corresponding to the biological information to be detected, and the signal generation circuit unit 12 with respect to the passage of time from the output of the signal generation circuit unit 12. A measurement waveform storage unit 132 that stores a measurement waveform indicating an output change (temporal change in biological pressure), generates a measurement waveform, and compares the shape pattern of the generated measurement waveform with the shape pattern of the reference waveform Various programs such as a biological information detection program that detects biological information based on the comparison result and outputs the detected detection result, and various data such as data necessary for execution of the various programs and data generated during the execution Store the data. The reference waveform stored in advance in the reference waveform storage unit 131 will be described later. The storage unit 13 is, for example, a volatile storage element such as a RAM (Random Access Memory) serving as a so-called working memory of the arithmetic processing unit 14, a ROM (Read Only Memory) or a rewritable EEPROM (Electrically Erasable Programmable Read Only Memory). And so on.

  The arithmetic processing unit 14 includes, for example, a microprocessor and its peripheral circuits. The arithmetic processing unit 14 functionally generates a measurement waveform from the output of the signal generation circuit unit 12, and a shape pattern of the generated measurement waveform and the storage unit 13. A reference waveform having a shape that best matches the shape of the measured waveform is obtained by comparing with a shape pattern of the reference waveform stored in advance, and biometric information is detected based on the obtained reference waveform. A biological information detection unit 141 that outputs the detected detection result is provided, and the signal generation circuit unit 12, the storage unit 13, the input unit 15, and the output unit 16 are controlled according to the function according to the control program.

  The input unit 15 gives various instructions to the biological information detection device 1 such as a power switch for turning on and off the biological information detection device 1 and a measurement start switch for instructing the biological information detection device 1 to start detection of biological information. It is configured with a switch. The output unit 16 is a device that outputs a reference waveform, a measurement waveform, biological information, and the like, and is, for example, a display device such as a CRT display, LCD, organic EL display, or plasma display.

  The signal generation circuit unit 12, the storage unit 13, the arithmetic processing unit 14, the input unit 15, and the output unit 16 are connected by a bus 17 so that data can be exchanged with each other.

  Next, a reference waveform generation device that generates a reference waveform stored in advance in the reference waveform storage unit 131 in the storage unit 13 of the biological information detection apparatus 1 will be described.

  FIG. 3 is a block diagram illustrating a configuration of the reference waveform generation device. The reference waveform generation device 2 according to the present embodiment changes the output of the pressure detection sensor over time by measuring the output of the pressure detection sensor having a constant time delay when the pressure due to the living body propagates in a predetermined period. Is a device for generating a reference waveform by generating a plurality of the elementary waveforms, and calculating a waveform obtained by averaging the generated plurality of elementary waveforms, for example, as shown in FIG. The sensor unit 11, the signal generation circuit unit 12, the storage unit 23, the arithmetic processing unit 24, the input unit 25, the output unit 26, the external storage unit 27, the trigger generation unit 28, and the bus 29. It is prepared for.

  Since the sensor unit 11 and the signal generation circuit unit 12 are the same as the sensor unit 11 and the signal generation circuit unit 12 in the biological information detection apparatus 1, description thereof is omitted. In the present embodiment, the signal generation circuit unit 12 of the reference waveform generation device 2 includes an Amp 121 and an LPF 122 from the viewpoint of generating a reference waveform with high accuracy.

  The storage unit 23 functionally stores an elementary waveform storage unit 232 that stores an elementary waveform indicating a change in the output of the signal generation circuit unit 12 over time, which is generated by measuring the output of the signal generation circuit unit 12 over a predetermined period. A generation reference waveform storage unit 231 that generates a plurality of elementary waveforms and stores a reference waveform obtained from each of the plurality of generated elementary waveforms, and measures the output of the signal generation circuit unit 12 in a predetermined period. Various programs such as a reference waveform generation program that generates a waveform, generates a plurality of elementary waveforms, and generates a reference waveform obtained by averaging the generated plurality of elementary waveforms, and data necessary for execution of the various programs and the execution thereof Various data such as data generated therein are stored. The storage unit 23 stores, for example, a volatile storage element such as a RAM serving as a so-called working memory of the arithmetic processing unit 24, a nonvolatile storage element such as a ROM or a rewritable EEPROM, and relatively large capacity data. Configured with a hard disk or the like.

  The trigger generation unit 28 is a circuit that generates data for generating a starting point (trigger, measurement start point) of an elementary waveform when the elementary waveform is generated. For example, in the present embodiment, since the starting point of the elementary waveform is determined based on the heartbeat, the trigger generator 28 is an electrocardiograph.

  The arithmetic processing unit 24 includes, for example, a microprocessor and its peripheral circuits, and functionally outputs the output of the signal generation circuit unit 12 from the starting point of the elementary waveform detected based on the output of the trigger generation unit 28. A reference waveform generation unit 241 that generates an elementary waveform by measuring in a period, generates a plurality of elementary waveforms, and generates a reference waveform that averages the plurality of elementary waveforms thus generated, and includes a signal generation circuit according to a control program The unit 12, the storage unit 23, the input unit 25, the output unit 26, and the external storage unit 27 are controlled according to the functions.

  The input unit 25 uses various commands such as a start command for instructing the start of generation of a reference waveform, various data such as data necessary for execution of a reference waveform generation program, such as information for determining the starting point of an elementary waveform and a value for a predetermined period. A device that inputs to the waveform generation device 2, such as a keyboard or a mouse. The output unit 26 is a device that outputs commands and data input from the input unit 25, measured elementary waveforms, computed reference waveforms, and the like. For example, a display such as a CRT display, LCD, organic EL display, or plasma display A printing device such as a printer or a printer. The external storage unit 27 is a device that reads and / or writes data between recording media such as a flexible disk, a CD-R (Compact Disc Recordable), and a DVD-R (Digital Versatile Disc Recordable). For example, a flexible disk drive, a CD-R drive, a DVD-R drive, and the like.

  The signal generation circuit unit 12, the storage unit 23, the arithmetic processing unit 24, the input unit 25, the output unit 26, the external storage unit 27, and the trigger generation unit 28 are connected to the bus 29 so that data can be exchanged with each other. Are connected to each other.

  The reference waveform generation device 2 having such a configuration generates a reference waveform by operating as follows. FIG. 4 is a flowchart showing a reference waveform generation operation for generating a reference waveform in the reference waveform generation apparatus. FIG. 5 is a diagram for explaining measurement of an elementary waveform. FIG. 5A shows changes in the output of the signal generation circuit unit 12 over time. The horizontal axis represents time, and the vertical axis represents the output level of the signal generation circuit unit 12. FIG. 5B shows an electrocardiogram, the horizontal axis is time, and the vertical axis is the action potential level of the heart.

  For example, the subject for generating the reference waveform sleeps on the bedding ML like the living body LB shown in FIG. 2, the power is turned on, and a start command for instructing the generation of the reference waveform of the reference waveform generation device 2 is input to the input unit When input from 25, the living body pressure of the subject is detected by the sensor unit 11 via the bedding ML.

  The sensor unit 11 outputs the detected living body pressure to the signal generation circuit unit 12. The signal generation circuit unit 12 performs predetermined signal processing on the output of the sensor unit 11 and outputs the result to the bus 29.

  In FIG. 3, the reference waveform generation unit 241 of the arithmetic processing unit 24 has a signal generation circuit unit 12 at a predetermined sampling interval set between 1 and 2 ms (a predetermined sampling frequency set between 500 Hz and 1 kHz). , The starting point of the elementary waveform (measurement start point) is detected from the output of the trigger generation unit 28, and the elementary waveform is measured by dividing the starting point from the detected starting point by a predetermined period. The waveform is stored in the waveform storage unit 232 and output to the output unit 26 (S11).

  For example, when the subject is at rest, the output of the signal generation circuit unit 12 has a waveform as shown in FIG. When the test subject is resting, the temporal change in the living body pressure is mainly caused by the heartbeat (heartbeat, pulsation) and respiration. Therefore, the output of the signal generation circuit unit 12 has a plurality of peaks. However, it presents a periodic waveform that repeats mainly according to the heartbeat interval. In the present embodiment, the R wave of the electrocardiogram is used as the starting point of the elementary waveform. Although the predetermined period is arbitrary, since a time length for capturing the pressure change characteristic of the measurement waveform after the R wave is generated is necessary, for example, the predetermined period is set to 850 ms. An elementary waveform measured by arranging the sensor unit 11 at a position where the output of the signal generation circuit unit 12 is divided at a predetermined period of 850 ms and the living body pressure can be detected with higher accuracy is shown in FIG. As can be seen from (B), it has a plurality of peaks having the maximum amplitude after the R wave is generated and gradually decreasing the amplitude.

  In FIG. 5 (A), the starting point (measurement start point) of the elementary waveform is set as the point in time when the R wave peak in the electrocardiogram occurs because of the ease of detection and the like. The peak of the Q point, the peak of the S point, etc.) may be used as the starting point of the elementary waveform, and the time change in the output of the signal generation circuit unit 12 has periodicity, and may be started from an arbitrary time point.

  Returning to FIG. 4, next, from the viewpoint of reducing the error, the reference waveform generation unit 241 repeatedly measures this elementary waveform a predetermined number of times, and measures each elementary waveform repeatedly measured as a measurement start point in each elementary waveform. A waveform is generated by matching and adding (S12). A waveform obtained by adding these elementary waveforms is referred to as an addition waveform. The predetermined number of times is the number of times that the disturbance due to noise in each elementary waveform can be substantially ignored, and is, for example, 10, 50, 100, 150, 200, etc. If the disturbance due to noise in each elementary waveform can be substantially ignored, the predetermined number of times may be one.

  Next, the reference waveform generation unit 241 generates a reference waveform by dividing the generated added waveform by the predetermined number of times (S13), and the generated reference waveform is stored in the generation reference waveform storage unit 231 of the storage unit 23. It memorize | stores and outputs to the output part 26 (S14).

  By operating in this manner, the reference waveform generation device 2 can generate the reference waveform of the subject shown in FIG. 5C and store it in the storage unit 23, for example.

  An example of the reference waveform in each sleeping posture determined in this way is shown in FIG. As a comparative example, FIG. 7 shows an example of a comparative waveform obtained by the above-described processing shown in FIG. 4 in which the piezoelectric element constituting the sensor unit 11 is replaced with an airbag.

  FIG. 6 is a diagram illustrating an example of a reference waveform according to the embodiment. FIG. 7 shows a comparative waveform. 6 and 7, the horizontal axis represents time, and the vertical axis represents the output level of the signal generation circuit unit 12. 6 (A) and 7 (A) show a plurality of elementary waveforms and reference waveforms and variances in the prone sleeping position, and FIGS. 6 (B) and 7 (B) show a plurality of lying waveforms in the lying position. FIG. 6C and FIG. 7C show a plurality of elementary waveforms, reference waveforms and variances in the supine sleeping posture. 6 (A) to (C) and FIGS. 7 (A) to (C), from the left, there are a plurality of elements for each body weight of small body weight (45 kg), medium weight (54 kg), and body weight (82 kg). The waveform and reference waveform and dispersion are shown respectively. In each figure, the elementary waveform and the reference waveform are shown in the upper stage, and the variance is shown in the lower stage. In the upper diagram of each figure, the elementary waveform is indicated by a black solid line, and the reference waveform is indicated by a white solid line. In addition, the specific numerical values of 45 kg of small body weight, 54 kg of body weight, and 82 kg of body weight are examples of large, medium and small weights adopted for the purpose of showing that the reference waveform does not depend on body weight with respect to the comparative waveform. That's just a guide.

  As can be seen from a comparison between FIG. 6 and FIG. 7, the variance shown in the lower part of each figure in FIG. 6 is larger because the subject has moved the body in the case of the weight in FIG. It is smaller than the variance shown in the lower part of each figure of FIG. Even in the case of the body weight in FIG. 6, except for the elementary waveform (random waveform in FIG. 6) when the subject moves the body, each elementary waveform (a waveform having the same shape pattern as the reference waveform in FIG. 6) It is almost the same, and the dispersion is expected to be small. In the case of the comparative waveform obtained by the airbag, the shape pattern of the waveform changes depending on the weight of the subject, but the time delay when the pressure due to the living body propagates is constant. A reference waveform obtained by a piezoelectric element, which is an example of a pressure detection sensor, does not depend on the body weight of the subject, and the shape pattern of the waveform is substantially the same. Furthermore, the shape pattern of the reference waveform depends on the sleeping posture of the subject. Although not shown, as a result of repeated experiments, such a reference waveform was substantially the same even when the subject changed.

  From the above experimental facts, the reference waveform is substantially common to all individuals of the living body without substantially depending on individual differences between living organisms, and has a shape pattern corresponding to the sleeping posture. Thus, a reference waveform is generated by detecting the living body pressure by the sensor unit 11 having a pressure detection sensor having a constant time delay when the pressure caused by the living body propagates, and the measurement waveform is generated as a reference. The sleeping posture can be determined as biological information by comparing with the waveform.

  The value of each sampling point in the reference waveform generated by the reference waveform generation device 2 in this way is used as the reference waveform shape pattern in the reference waveform storage unit 131 of the storage unit 13 in the biological information detection device 1 in the manufacturing stage, the shipping stage, etc. Store in advance before sale. In addition, the waveform memorize | stored in the reference | standard waveform memory | storage part 131 may be memorize | stored over the whole predetermined period as mentioned above, and may store only a part of predetermined period. For example, a waveform over the entire 850 ms may be stored in the reference waveform storage unit 131 as a reference waveform, and a part of the entire 850 ms, for example, a 500 ms portion from a measurement start point, a 300 ms portion, or a measurement start point. A waveform such as a 500 ms portion or a 300 ms portion after 100 ms may be stored as a reference waveform.

  Similarly, from the same experimental fact, the reference waveform is substantially common to all the individuals of the living body without substantially depending on the individual differences of the living body, and corresponds to the sleeping position and the entrance / exit. Since each shape pattern is generated, the reference waveform is generated by detecting the living body pressure by the sensor unit 11 having the pressure detecting sensor having a constant time delay when the pressure due to the living body propagates as in the present invention. By generating a measurement waveform and comparing the measurement waveform with a reference waveform, it is possible to determine a sleeping position and an entrance / exit as biological information.

  That is, by storing in advance in the reference waveform storage unit 131 of the storage unit 13 in the biological information detection device 1 before sales, a plurality of reference waveform shape patterns corresponding to the sleeping posture, sleeping position, and entrance / exit floor, respectively. As biological information, a sleeping posture, a sleeping position, and an entrance / exit can be determined and detected.

Next, the operation of this embodiment will be described.
(Operation of the embodiment)
FIG. 8 is a flowchart illustrating a biological information detection operation for detecting biological information in the biological information detection apparatus according to the embodiment.

  For example, when the power switch in the input unit 15 of the biological information detection apparatus 1 is turned on and the measurement start switch is turned on, the measurement is started, and the user (biological body LB) is placed on the bedding ML as shown in FIG. When the user falls asleep, the living body pressure of the user is detected by the sensor unit 11 through the bedding ML. The sensor unit 11 outputs the detected living body pressure to the signal generation circuit unit 12. The signal generation circuit unit 12 performs predetermined signal processing on the output of the sensor unit 11 and outputs the result to the bus 17.

  In FIG. 8, the biological information detection unit 141 of the arithmetic processing unit 14 samples the output of the signal generation circuit unit 12 at a predetermined sampling interval, and measures an elementary waveform as a measurement waveform by dividing the output by a predetermined period. It memorize | stores in the measurement waveform memory | storage part 132 of the memory | storage part 23 (S21). Here, the section divided by the predetermined period is referred to as “page”.

  Next, the biological information detection unit 141 compares the shape pattern of the generated measurement waveform (elementary waveform) with the shape pattern of each reference waveform stored in advance in the reference waveform storage unit 131 of the storage unit 13 (S22). ).

  For example, a reference waveform when the sleeping posture is prone (prone reference waveform), a reference waveform when the sleeping posture is lying down (recumbent reference waveform), and a reference waveform when the sleeping posture is supine (supine reference waveform) When each reference waveform is stored in advance in the reference waveform storage unit 131, the biological information detection unit 141 compares the measurement waveform with each reference waveform of the prone reference waveform, the lying reference waveform, and the supine reference waveform. This comparison is performed, for example, by calculating a cross-correlation function Fc between the measurement waveform and the reference waveform. The cross-correlation function Fc is calculated by Equation 1.

  Further, for example, this comparison is performed by calculating the mean square Fe of the difference between the measurement waveform and the reference waveform. The square of the average of the difference between the measured waveform and the reference waveform is calculated by Equation 2.

Here, in Equation 1 and Equation 2, X _Ti is a value at the i-th sampling time point in the reference waveform, X _{i + p} is a value at the i + p-th sampling time point in the measurement waveform, and n is , The total number of samplings in the reference waveform. p is an integer value of 0 or more.

  Next, the biological information detection unit 141 obtains a reference waveform having a shape that best matches the shape of the measurement waveform by comparison in the process S22, and determines a sleeping posture corresponding to the obtained reference waveform (S23). This determination is made when the comparison in step S22 is performed by obtaining the cross-correlation function Fc. The larger the value of the cross-correlation function Fc, the better the shape pattern of the measurement waveform matches the shape pattern of the reference waveform. Therefore, the biometric information corresponding to the measurement waveform is determined to be the sleeping position of the reference waveform having the largest cross-correlation function Fc value. The In addition, this determination is performed when the comparison in step S22 is performed by obtaining the mean square Fe of the difference between the measurement waveform and the reference waveform, and the value of the mean square Fe of the difference between the measurement waveform and the reference waveform. The smaller the value is, the better the shape pattern of the measurement waveform matches the shape pattern of the reference waveform. Therefore, the reference waveform having the smallest value of the mean square Fe of the difference between the measurement waveform and the reference waveform is obtained. The biological information corresponding to the measurement waveform is determined to be the sleeping posture of the reference waveform having the smallest value of the mean square Fe of the difference between the measurement waveform and the reference waveform. As a result of such comparison, for example, when the shape pattern of the measurement waveform and the shape pattern of the supine reference waveform are the best match, the biological information detection unit 141 determines that the user's sleeping posture is supine. To do.

  Next, the biological information detection unit 141 outputs the sleeping posture of the determination result to the output unit 16 as biological information (S24).

  Next, the biological information detection unit 141 calculates the cross-correlation function or the square of the average of the difference between the shape of the measurement waveform and the shape of the reference waveform having the shape that best matches the shape of the measurement waveform obtained in the processing 23. Is determined when the calculated waveform obtained by calculating exceeds a predetermined threshold. This determined time corresponds to the R wave peak of the electrocardiogram. Then, the biological information detection unit 141 detects a heartbeat by obtaining a time point corresponding to the R wave peak of each measurement waveform. And the biometric information detection part 141 detects a heartbeat by calculating | requiring the time of the R wave of each measurement waveform (S25). Next, the biological information detection unit 141 outputs the detected heartbeat as biological information to the output unit 16 (S26).

  Next, the biological information detection unit 141 determines whether or not the biological information detection operation is finished depending on whether or not the measurement start switch of the input unit 15 is turned off (S27). As a result of the determination, if the determination is complete (Yes), the biological information detection unit 141 ends the biological information detection operation. On the other hand, if the determination is not complete (No), the biological information detection unit 141 141 returns the process to step S21 to continue the biometric information detection operation.

  By operating in this way, the biological information detection apparatus 1 stores the shape pattern of the reference waveform in the reference waveform storage unit 131 of the storage unit 13 in advance before the sales at the manufacturing stage, the shipping stage, and the like. Can purchase the biological information detection apparatus 1 immediately without measuring its own reference waveform. Therefore, there is no need for labor and time for measuring the user's reference waveform, and anyone can easily handle it compared to the background art. In addition, the biological information detection apparatus 1 uses the reference waveform having the shape that best matches the shape of the measurement waveform and the measurement waveform, so that even when the maximum amplitude corresponding to the R wave of the measurement waveform is unclear. The peak corresponding to the R wave can be detected with higher accuracy. Furthermore, since such a biological information detection apparatus 1 can detect biological information without restraining the user and non-invasively, it does not impose a burden on the user and may inhibit sleep. Absent.

  In the above-described embodiment, the biological information detection apparatus 1 stores in advance each reference waveform corresponding to each sleeping posture, and determines the reference waveform with the best matching measurement waveform, thereby determining the reference waveform of the user on the bedding ML. While detecting a sleeping posture and detecting a heartbeat from the determined reference waveform and the measured waveform, the biological information detection apparatus 1 may be configured to detect respiration from the determined reference waveform and the measured waveform. . By comprising in this way, a user's respiration can be detected more accurately. Further, the biological information detection apparatus 1 may be configured to store a snoring reference waveform in the reference waveform storage unit 131 of the storage unit 13 in advance and determine whether or not snoring is present. Snoring occurs when a soft palate or the like vibrates with breathing, and this vibration has a natural frequency. This natural frequency is higher than the frequency of the heartbeat (a cycle shorter than the cycle of the heartbeat). When snoring occurs, this natural frequency is superimposed on the measurement waveform. Accordingly, a reference waveform (snoring reference waveform) including this natural frequency is generated by the reference waveform generating device 2, and the generated snoring reference waveform is stored in the storage unit 13 of the living body information detecting device 1 in advance. The biological information detection apparatus 1 can be configured to determine snoring as information. The judgment method is a method that is performed by comparing whether or not the reference waveform pattern and the measurement waveform pattern match, or the frequency of the measurement waveform is analyzed, and whether or not the natural frequency of snoring is included in the analysis result. There are ways to do it. Furthermore, you may comprise the biometric information detection apparatus 1 so that a user's entrance / exit may be detected according to the presence or absence of a measurement waveform. By comprising in this way, a user's entrance / exit can be detected. Then, a reference waveform having a shape that best matches the shape of the measurement waveform is obtained at different points in time, and a sleeping posture is detected at predetermined time intervals in order to detect body movement as biological information based on the obtained reference waveforms. However, the biological information detection apparatus 1 may be configured to detect the presence / absence of body movement and the change in sleeping posture by obtaining the time change. By configuring in this way, it is possible to detect body movements due to changes in the sleeping posture.

  And in the above-mentioned embodiment, each reference waveform corresponding to each lying posture of supine, lying down and prone is generated by the reference waveform generating device 2, and each generated reference waveform is stored in the storage unit 13 of the biological information detecting device 1. Although the sleeping posture is determined as the biological information by storing it, the present invention is not limited to this. For example, each reference waveform of each sleeping position is generated by the reference waveform generating device 2, and each generated reference waveform is stored in the storage unit 13 of the living body information detecting device 1, whereby the sleeping posture, sleeping position, heart rate The biological information detection apparatus 1 may be configured so as to determine breathing, snoring, entry / exit, and the like.

  FIG. 9 is a diagram for explaining the sleeping position of the user on the bedding. For example, as shown in FIG. 9, when the bedding ML is viewed from the top, it is divided into six sections: a central section AR1, a left section AR2, a right section AR3, a lower section AR4, a lower left section AR5, and a lower right section AR6. The reference waveform generation device 2 generates reference waveforms corresponding to the lying postures of the supine, lying down and prone positions in each of the sections AR1 to AR6, and the generated reference waveforms are stored in the storage unit 13 of the biological information detection device 1. Remember. The biological information detection apparatus 1 may be configured to detect the user's sleeping posture and sleeping position by determining a reference waveform that best matches the measurement waveform. With this configuration, the user's sleeping posture and sleeping position can be detected. Then, the biological information detection apparatus 1 may be configured to detect heartbeat and / or respiration from the determined reference waveform and measurement waveform. By comprising in this way, a user's heartbeat and / or respiration can be detected more accurately. Moreover, you may comprise the biometric information detection apparatus 1 so that a user's entrance / exit may be detected according to the presence or absence of a measurement waveform. By comprising in this way, a user's entrance / exit can be detected. Further, the biological information detection apparatus 1 may be configured to detect the presence or absence of body movement by detecting a sleeping posture and a sleeping position at predetermined time intervals and obtaining a change in the time. With this configuration, it is possible to detect body movements due to changes in the sleeping posture and / or sleeping position.

  FIG. 10 is a flowchart illustrating a biological information detection operation for detecting biological information when body movement is detected in the biological information detection apparatus according to the embodiment. FIG. 11 is a diagram for explaining detection timing for detecting biological information in the biological information detecting apparatus according to the embodiment. FIG. 11A shows the detection timing when biometric information is detected according to the flowchart shown in FIG. 8, and FIG. 11B shows the detection timing when biometric information is detected according to the flowchart shown in FIG. The horizontal axis in FIG. 11 is a time axis representing the passage of time, “JP” indicates the detection timing for detecting the biological information, and “BM” indicates the time point when the body motion has occurred.

  In the above-described embodiment, as described with reference to FIG. 8, the raw waveform is measured as a measurement waveform for each page in the process S21, and the shape pattern of the measurement waveform is compared with the shape pattern of the reference waveform in the process S22. The biological information detection apparatus 1 is configured to determine the sleeping posture based on the comparison result in the process SS23. However, when a body movement is detected due to a change in the sleeping posture or the like, the sleeping posture is determined. Alternatively, the biological information detection apparatus 1 may be configured.

  The biological information detection apparatus 1 having such a configuration detects a body movement based on the output of the sensor unit 11 and outputs a detection signal to the arithmetic processing unit 14 as indicated by a broken line in FIG. When the detection signal is input from the body motion detection unit 18, the biological information detection unit 141 of the arithmetic processing unit 14 generates and generates an elementary waveform from the output of the signal generation circuit unit 12 as a measurement waveform. A reference waveform having a shape that best matches the shape of the measurement waveform is obtained by comparing the shape pattern of the measurement waveform with the shape pattern of the reference waveform stored in advance in the reference waveform storage unit 131 of the storage unit 13; Biological information is detected based on the obtained reference waveform, and the detected detection result is output.

  In the above description, the body movement of the change in the sleeping position and / or the sleeping position is detected by detecting the sleeping position at predetermined time intervals and obtaining the change in the time, but the sensor unit 11 outputs the body movement when the body movement occurs. Therefore, body movement can be detected. For this reason, the body motion detection unit 18 may be configured to output a detection signal based on the output of the sensor unit 11 by detecting body motion.

  Below, operation | movement of the biometric information detection apparatus 1 of such a structure is demonstrated. For example, when the power switch in the input unit 15 of the biological information detection apparatus 1 is turned on and the measurement start switch is turned on, the measurement is started, and the user (biological body LB) is placed on the bedding ML as shown in FIG. When the user falls asleep, the living body pressure of the user is detected by the sensor unit 11 through the bedding ML. The sensor unit 11 outputs the detected living body pressure to the signal generation circuit unit 12. The signal generation circuit unit 12 performs predetermined signal processing on the output of the sensor unit 11 and outputs the result to the bus 17.

  In FIG. 11, the biological information detection unit 141 of the arithmetic processing unit 14 determines whether or not the initial sleeping posture is the same as the processing S21 to S24 described above with reference to FIG. The waveform (measurement waveform) is measured and stored, the raw waveform (measurement waveform) is compared with the reference waveform in process S32, the sleeping posture is determined in accordance with the elementary waveform in process S33, and the process S34 is performed. Execute the sleeping posture output.

  Next, the biological information detection unit 141 detects body motion by determining whether or not a detection signal is output from the body motion detection unit 18 (S35), and determines whether there is body motion (S36). When the detection signal is output from the body movement detection unit 18, it is determined that there is a body movement. On the other hand, when the detection signal is not output from the body movement detection unit 18, it is determined that there is no body movement. The

  As a result of the determination in the process S36, the biological information detection unit 141 executes the process S37 when there is no body movement (Yes), while the process S41 to the process S43 when there is a body movement (No). After executing, the process S37 is executed.

  In process S37, the biological information detection unit 141 performs heartbeat detection in the same manner as in the above-described process S25. Next, the biological information detection unit 141 outputs a heartbeat in the same manner as in the above-described process S26 (S38), and then determines whether or not the biological information detection operation is finished in the same manner as in the above-described process S27. (S39). As a result of the determination, if the determination is finished (Yes), the biological information detection unit 141 ends the biological information detection operation. On the other hand, if the determination is not completed (No), the biological information detection unit 141 is completed. In order to continue the biometric information detection operation, after measuring and storing an elementary waveform (measurement waveform) in the same manner as the above-described processing S21 and S31 (S40), the processing returns to processing S35.

  On the other hand, in the process S41, the biological information detection unit 141 performs comparison between the elementary waveform (measurement waveform) and the reference waveform in the same manner as the above-described processes S22 and S32. Next, the biological information detection unit 141 performs the sleeping posture determination corresponding to the raw waveform in the same manner as the processing S23 and S33 described above (S42), and the sleeping posture as in the processing S24 and S34 described above. Execute the output.

  By operating in this way, the living body information detection apparatus 1 performs measurement and storage of an elementary waveform (measurement waveform) for each page in the process S40, but the above-described implementation described with reference to FIG. Instead of determining the sleeping posture for each page as in the form, the sleeping posture is determined when body movement is detected due to a change in the sleeping posture or the like. Therefore, the biological information detection apparatus 1 does not need to compare a plurality of reference waveforms stored in the reference waveform storage unit 131 of the storage unit 13 and the measurement waveform for each page, and the information processing amount of the arithmetic processing unit 14 Can be reduced. In addition, the biological information detection apparatus 1 performs heartbeat detection using a reference waveform having a shape that best matches the shape of the measurement waveform determined in step S33 or step S42 unless body movement is detected. Therefore, the heartbeat can be detected with high accuracy.

  As an example, in the case where the biological information detection apparatus 1 sets one page for 20 seconds, the user (living body LB) is first lying on the back and changes the sleeping posture to the scissors during the fifth page P5. The operation of the biological information detection apparatus 1 will be described more specifically below.

  In the biological information detecting apparatus 1 that executes the operation shown in FIG. 8, as shown in FIG. 11A, at each detection timing JP1, JP2, JP3,... For each page P1, P2, P3,. For example, a sleeping posture is determined by comparing a plurality of reference waveforms such as a prone reference waveform, a recumbent reference waveform, and a supine reference waveform with a measured waveform, and a heartbeat is detected using the reference waveform based on the determination result. For this reason, in this example, the sleeping posture is also determined on the second page P2 to the fourth page P4 and the sixth page where there is no change in the sleeping posture, and the heartbeat is detected using the reference waveform based on the determination result.

  On the other hand, in the biological information detecting apparatus 1 that performs the operation shown in FIG. 10, the sleeping posture is determined by comparing the plurality of reference waveforms with the measured waveforms at the detection timing JP1 of the first first page P1. A heartbeat is detected using the resulting reference waveform. Thereafter, in this example, in the second page P2 to the fourth page P4, there is no change in the sleeping posture and no body movement is detected, so the sleeping posture is not determined, and the heart rate is determined using the reference waveform determined in the first page P1. Is detected. Then, since there is a body movement BM between the fifth page P5 and detected, the sleeping posture is determined by comparing the plurality of reference waveforms with the measured waveforms at the detection timing JP5 on the fifth page P5. A heartbeat is detected using the resulting reference waveform. As described above, when the body motion is detected, the reference waveform for detecting the heartbeat is switched. Thereafter, in this example, on the sixth page P6, there is no change in the sleeping posture and no body movement is detected, so the sleeping posture is not determined, and the heartbeat is detected using the reference waveform determined on the fifth page P5. .

  FIG. 12 is a waveform diagram showing an example of the output of the sensor unit in each of the stable state, the thin body movement state, and the rough body movement state. 12A shows the output waveform of the sensor unit 11 in a stable state, FIG. 12B shows the output waveform of the sensor unit 11 when there is a thin body motion, and FIG. The output waveform of the sensor part 11 when there is a rough body motion is shown. FIG. 13 is a diagram for explaining the operation of the body motion detection unit according to the embodiment. FIG. 14 is a diagram for explaining another operation of the body motion detection unit according to the embodiment. The horizontal axis of FIGS. 13 and 14 is time, and the vertical axis thereof is the mean square value.

  Here, the sleeping user (living body LB) is in a stable state where there is no body movement and the user is substantially stationary, and a slender body in which only the head and limbs move and the sleeping posture and sleeping position do not change. It can be roughly classified into a moving state and a rough body moving state in which the sleeping posture and the sleeping position change by changing the orientation and position of the trunk, for example, by turning over. Accordingly, the output waveform of the sensor unit 11 is a stable waveform with little amplitude corresponding to the stable state, as shown in FIG. 12A, and the thin body moving state, as shown in FIG. Corresponding waveforms with relatively small amplitude changes and waveforms with relatively large amplitude changes corresponding to the coarse body motion state, as shown in FIG.

  In the biological information detection apparatus 1 that executes the operation shown in FIG. 10, the sleeping posture is determined by comparing the plurality of reference waveforms with the measurement waveform only when a rough body movement state is detected, and is used for detecting a heartbeat. It is preferable that switching of the reference waveform to be performed is performed. Therefore, it is preferable that the body motion detection unit 18 is configured to detect the detection signal when the output level of the sensor unit 11 exceeds a predetermined threshold value set in advance as detection of body motion. For example, the predetermined threshold value may be obtained statistically by actually measuring the outputs of the thin body motion and coarse body motion sensor units 11 for a plurality of subjects.

  For example, the body motion detection unit 18 obtains an average square value of the output of the sensor unit 11 every 0.5 seconds, and detects the body motion when a predetermined threshold value, for example, 2000 (broken line in the figure) is exceeded. Is configured to detect the detection signal. The threshold value 2000 is a value at which the mean square value every 0.5 seconds with respect to the output of the sensor unit 11 varies depending on the output gain of the sensor unit 11, the output gain of the body motion detection unit 18, the sampling interval, and the like. The threshold value is not limited to this.

  FIG. 13 shows a case where the biological information detecting apparatus 1 sets one page to 20 seconds as described above, and the user (living body LB) lies on his / her side during the fifth page P5. When the posture is changed, the mean square value is obtained every 0.5 seconds with respect to the output of the sensor unit 11. The average square value of the output of the sensor unit 11 is also measured in the first page P1 to the fourth page P4 and the sixth page P6, but is less than the threshold value 2000, and the body motion detection unit 18 determines that the body motion is a thin body motion. Does not output detection signals. On the other hand, on the fifth page P5, the mean square value of the output of the sensor unit 11 exceeds the threshold value 2000, and the body motion detection unit 18 determines that the body motion is rough and outputs a detection signal.

FIG. 14 shows a case where the biometric information detection apparatus 1 sets a page to 20 seconds as in FIG. 13, and the user (living body LB) lies on his side during the fifth page P5. When the sleeping posture is changed, the mean square value of the output of the sensor unit 11 is obtained every 0.5 seconds. On the third page P3, the average square value of the output of the sensor unit 11 is the threshold value 2000. If it exceeds, there is CS. This is a case where the sleeping posture and sleeping position are not changed, but the head and limbs move greatly. As described above, there may be a case where it is not possible to discriminate between the fine body motion and the rough body motion only by comparing the output of the sensor unit 11 with the threshold value. Since the rough body motion is detected by changing the direction and position of the trunk, the time T _LM during which the mean square value of the output of the sensor unit 11 exceeds the threshold due to the rough body motion is a narrow body motion. it is considered to be long compared to the time T _SM the mean square value exceeds the threshold value of the output of the sensor unit 11 by. Therefore, the body motion detection unit 18 may be configured to detect body motion based on the output change of the sensor unit 11 with respect to time. More specifically, the body motion detection unit 18 is configured to output a detection signal as detection of body motion when the output change of the sensor unit 11 exceeds a predetermined threshold and exceeds a predetermined duration. May be. By configuring the body motion detection unit 18 in this manner, it is possible to more accurately discriminate between the fine body motion and the rough body motion, and it is possible to more accurately determine the rough body motion.

  For example, the predetermined duration may be obtained statistically by actually measuring the outputs of the thin body motion and coarse body motion sensor units 11 for a plurality of subjects. For example, the predetermined duration is 2 seconds. This is because if the time when the output waveform of the sensor unit 11 is greatly disturbed continues for 2 seconds or more, the sleeping posture and sleeping position can be changed by changing the orientation and position of the trunk due to turning over. This is because it can be used as a standard to distinguish from the case where only the head and limbs move and the sleeping posture and sleeping position do not change. This duration time is not limited to 2 seconds.

  Even if the body movement detection unit 18 determines that body movement is detected and outputs a detection signal even though the sleeping posture has not actually changed, as described above with reference to FIG. In step S41, the comparison between the elementary waveform (measured waveform) and the reference waveform is executed, and in step S42, only the sleeping posture corresponding to the elementary waveform is determined. Therefore, the reference waveform corresponding to the previous sleeping posture is selected. Then, the sleeping posture is determined to be the same as the sleeping posture before the body motion detection unit 18 outputs the detection signal. That is, the body motion detection unit 18 simply compares the elementary waveform (measurement waveform) of the processing S41 to the processing S43 with the reference waveform to determine the sleeping posture corresponding to the elementary waveform (measurement waveform) (reference waveform). Selection timing), which does not affect the determination result, and there is no switching of the reference waveform having the shape that best matches the shape of the measurement waveform.

  In addition, although the biological information detection apparatus 1 that performs the operation illustrated in FIG. 10 has been described with reference to the case where the heartbeat is detected from the determined reference waveform and measurement waveform, the biological information that performs the operation illustrated in FIG. As in the case of the detection device 1, the biological information detection device 1 may be configured to detect respiration from the determined reference waveform and measurement waveform. Further, the biological information detection apparatus 1 may be configured to store a snoring reference waveform in the reference waveform storage unit 131 of the storage unit 13 in advance and determine whether or not snoring is present. Furthermore, you may comprise the biometric information detection apparatus 1 so that a user's entrance / exit may be detected according to the presence or absence of a measurement waveform. Then, a reference waveform having a shape that best matches the shape of the measurement waveform is obtained at different points in time, and a sleeping posture is detected at predetermined time intervals in order to detect body movement as biological information based on the obtained reference waveforms. However, the biological information detection apparatus 1 may be configured to detect the presence / absence of body movement and the change in sleeping posture by obtaining the time change. Even if the body motion detection unit 18 determines that the thin body motion is the rough body motion, the body motion due to the change in the sleeping posture can be accurately detected with this configuration.

  Furthermore, in the above-described embodiment, as indicated by a broken line in FIG. 1, a reference waveform correction unit 142 that corrects the reference waveform with the measurement waveform may be further provided. The reference waveform correction unit 142 uses a measurement waveform stored in the measurement waveform storage unit 132 of the storage unit 13 measured by the biological information detection unit 141 to store a reference waveform stored in advance in the reference waveform storage unit 131. to correct.

  This correction is to correct the amplitude of the reference waveform based on the measurement waveform from the viewpoint of more accurately detecting biological information by comparing the shape pattern of the reference waveform and the shape pattern of the measurement waveform. is there. FIG. 15 is a diagram for explaining a method of correcting the amplitude of the reference waveform. More specifically, this correction method first normalizes the reference waveform so that the maximum value of its amplitude is 1 as shown in FIG. When the comparison between the shape pattern of the reference waveform and the shape pattern of the measurement waveform by the biological information detection unit 141 is performed in a unit of a predetermined period, the unit is further divided into a plurality of periods. Then, the maximum value of the amplitude of the measurement waveform in each divided period is calculated. Next, the calculated central value of each maximum value is used as a norm (standard) in the unit, and the reference waveform data is multiplied to obtain a new reference waveform used for comparison with the shape pattern of the measured waveform. For example, as shown in FIG. 15 (B), when comparing 20 pages as one page, the page is divided into 10 periods P1 to P10, for example, every 2 seconds, and divided. The maximum amplitude of the measured waveform in each period is calculated. Next, the center value of each calculated maximum value, that is, the sixth largest maximum value is used as the norm (standard) in the unit, and is multiplied by the reference waveform data, and used for comparison with the shape pattern of the measured waveform. To a new reference waveform. The biometric information detection unit 141 compares the shape pattern of the new reference waveform with the shape pattern of the measurement waveform in units of the predetermined period (in the above example, one page), and the shape of the measurement waveform is best. A reference waveform having a matching shape is obtained, biological information is detected based on the obtained reference waveform, and the detected detection result is output. With this configuration, a reference waveform having a shape that best matches the shape of the measurement waveform more accurately can be selected.

  Alternatively, this correction is performed by measuring a plurality of elementary waveforms for the user, and then obtaining the user's reference waveform to customize the user, and the user's reference waveform and the reference waveform storage unit. This is performed by calculating an arithmetic average with a reference waveform stored in advance in 131. The measurement of the elementary waveform is based on a reference waveform and a measurement waveform corresponding to the supine posture preliminarily stored in the reference waveform storage unit 131, for example, when the user wants to go to bed, first sleeps in the supine posture. To detect the heartbeat. As a result, a time point corresponding to the R wave peak of the heartbeat in the measurement waveform is obtained, and a raw waveform is generated from the measurement waveform by using this time point as the starting point of the raw waveform. Here, from the viewpoint of obtaining an elementary waveform with higher accuracy, it is preferable to use a section of a measured waveform where there is no body movement and the waveform is stable. Further, when a plurality of reference waveforms corresponding to the sleeping posture, sleeping position, and entrance / exit are stored in the reference waveform storage unit 131 in advance, the user is caused to sleep in a corresponding manner, and the plurality of reference waveforms are stored. Is similarly corrected.

  Note that the reference waveform before correction and the corrected reference waveform may be stored in the storage unit 13 so that the biological information detecting apparatus 1 can be returned to the state at the time of purchase.

  In the above-described embodiment, the piezoelectric element is used as an example of the pressure detection sensor that has a constant time delay when the pressure due to the living body propagates. However, the present invention is not limited to this. The pressure detection sensor is a sensor that has a response characteristic of substantially the same level as that of a piezoelectric element and can detect pressure caused by a living body without depending on the shape pattern of the reference waveform depending on the body weight of the subject. Good. For example, a pressure detection sensor using an optical fiber can be given as another example of such a pressure detection sensor. This optical fiber pressure sensor is disclosed, for example, in JP-A-8-584. The optical fiber pressure sensor of this publication includes a light emitting unit that emits light, an optical fiber that is bent with a required curvature in a direction in which the light is incident and a load is applied, and a light emitting unit that transmits the optical fiber. The light receiving part which receives this light and produces | generates the electric current according to received light quantity, and the determination part which determines a pressure based on the output of a light receiving part are comprised. In the optical fiber pressure sensor having such a configuration, the amount of light reaching the light receiving portion changes due to the change in the curvature of the optical fiber due to the load, and the pressure is detected.

It is a block diagram which shows the structure of the biometric information detection apparatus which concerns on embodiment. FIG. 2 is a diagram illustrating an arrangement relationship between the sensor unit and the bedding. It is a block diagram which shows the structure of a reference | standard waveform generation apparatus. It is a flowchart which shows the reference waveform production | generation operation | movement which produces | generates the reference waveform in a reference waveform generation apparatus. It is a figure for demonstrating the measurement of an elementary waveform. It is a figure which shows an example of the reference waveform which concerns on embodiment. It is a figure which shows a comparison waveform. It is a flowchart which shows the biometric information detection operation | movement which detects the biometric information in the biometric information detection apparatus which concerns on embodiment. It is a figure for demonstrating the user's sleeping position on bedding. It is a flowchart which shows the biometric information detection operation | movement which detects biometric information, when the body movement in the biometric information detection apparatus which concerns on embodiment is detected. It is a figure for demonstrating the detection timing which detects the biometric information in the biometric information detection apparatus which concerns on embodiment. It is a wave form diagram which shows an example of the output of a sensor part in each of a stable state, a thin body movement state, and a rough body movement state. It is a figure for demonstrating operation | movement of the body movement detection part which concerns on embodiment. It is a figure for demonstrating other operation | movement of the body movement detection part which concerns on embodiment. It is a figure for demonstrating the correction method of the reference waveform which concerns on embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Biological information detection apparatus 2 Reference | standard waveform generation apparatus 11 Sensor part 12 Signal generation circuit part 13, 23 Memory | storage part 14, 24 Operation processing part 15, 25 Input part 16, 26 Output part 17, 28 Bus 18 Body motion detection part 27 External Storage unit 131 Reference waveform storage unit 132 Measurement waveform storage unit 141 Biological information detection unit 142 Reference waveform correction unit 231 Generation reference waveform storage unit 232 Elementary waveform storage unit 241 Reference waveform generation unit

Claims (14)

A sensor unit that includes a pressure detection sensor and detects pressure caused by a living body that propagates through the bedding; and
A reference waveform storage unit that stores in advance a shape pattern of a reference waveform that is substantially common to each individual of the living body corresponding to the biological information to be detected;
Generating a measurement waveform indicating an output change of the sensor unit with respect to time from the output of the sensor unit, and detecting biological information by comparing the shape pattern of the generated measurement waveform and the shape pattern of the reference waveform; A biological information detection apparatus comprising: a biological information detection unit that outputs the detected detection result. The shape pattern of the reference waveform is provided with a pressure detection sensor, and the output of the sensor unit changes with time by measuring the output of the sensor unit that detects pressure caused by a living body propagating through the bedding for a predetermined period. The biological information detecting apparatus according to claim 1, wherein the biometric information detection apparatus generates a plurality of the elementary waveforms, and generates a plurality of the elementary waveforms, and averages the plurality of elementary waveforms generated. The reference waveform storage unit stores a plurality of reference waveform shape patterns corresponding to the posture of the living body that is sleeping, the position on the bedding in the living body that is sleeping, and the entrance / exit. The biological information detection device according to claim 1 or 2. The living body information detection unit obtains a reference waveform having a shape that best matches the shape of the measurement waveform at different points in time, the posture of the living body that is sleeping, the position on the bedding in the living body that is sleeping, and The biological information detection apparatus according to any one of claims 1 to 3, wherein at least one of entering and leaving the floor is detected as the biological information. The biological information detection unit obtains a reference waveform having a shape that best matches the shape of the measurement waveform at different time points, and detects body movement as the biological information based on the obtained plurality of reference waveforms. The biological information detection device according to any one of claims 1 to 4. The biological information detection unit obtains at least one of heartbeat, respiration, and snoring based on a reference waveform having a shape that best matches the obtained shape of the measurement waveform and the measurement waveform. The biological information detection apparatus according to any one of claims 1 to 5. Further comprising a body motion detection unit for detecting a body motion based on the output of the sensor unit and outputting a detection signal;
When the detection signal is input from the body motion detection unit, the biological information detection unit best matches the shape of the measurement waveform by comparing the shape pattern of the measurement waveform with the shape pattern of the reference waveform A reference waveform having a shape is obtained, and at least one of a posture of the living body sleeping, a position on the bedding in the living body, and an entrance / exit is detected as the biological information. The biological information detection apparatus according to any one of claims 1 to 3. The biological information detection device according to claim 7, wherein the body movement detection unit outputs the detection signal as detection of body movement when the output of the sensor unit exceeds a predetermined threshold value. The biological information detection apparatus according to claim 7, wherein the body movement detection unit detects the body movement based on an output change of the sensor unit with respect to time. The body movement detection unit outputs the detection signal as detection of body movement when an output change of the sensor unit exceeds a predetermined threshold and exceeds a predetermined duration. The biological information detection apparatus according to 1. The biological information detection apparatus according to claim 1, further comprising a reference waveform correction unit that corrects the amplitude of the reference waveform with the measurement waveform. The biological information detection device according to any one of claims 1 to 11, wherein the reference waveform correction unit corrects a shape pattern of the reference waveform with the measurement waveform. The biological information detection device according to any one of claims 1 to 12, wherein the pressure detection sensor includes a piezoelectric element. In the biological information detection method for detecting the biological information by storing in advance a shape pattern of a reference waveform that is substantially common to each individual of the biological corresponding to the biological information to be detected,
A detection step of detecting a pressure caused by the living body propagating through the bedding in a sensor unit including a pressure detection sensor;
Generating a measurement waveform indicating an output change of the sensor unit with respect to time from an output of the sensor unit;
A comparison step for obtaining a reference waveform having a shape that best matches the shape of the measurement waveform by comparing the shape pattern of the measurement waveform generated in the generation step with the shape pattern of the reference waveform;
A detection step of detecting biological information based on the reference waveform obtained in the comparison step;
A biological information detection method comprising: an output step of outputting a detection result detected in the detection step.

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