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JP2012024320A - Device and method for measuring biological signal - Google Patents

Device and method for measuring biological signal Download PDF

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JP2012024320A
JP2012024320A JP2010165601A JP2010165601A JP2012024320A JP 2012024320 A JP2012024320 A JP 2012024320A JP 2010165601 A JP2010165601 A JP 2010165601A JP 2010165601 A JP2010165601 A JP 2010165601A JP 2012024320 A JP2012024320 A JP 2012024320A
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Masaru Shoda
勝 鎗田
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Nippon Koden Corp
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Abstract

【課題】アーチファクト成分などのノイズ成分が重畳された測定信号から被測定者の脈動成分を正確に抽出して検出することができる。
【解決手段】2つの異なる波長の光を被測定者の生体組織に照射する照射部10と、照射部10から照射されて生体組織500を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する受光部20と、電気信号をヒルベルト変換して包絡線を構成する包絡線データを生成するヒルベルト変換部34,35と、生成した包絡線データに基づいて減光度比を算出し、当該減光度比に基づいて生体組織500における動脈の血中酸素飽和度を算出する酸素飽和度算出部40とを備えることを特徴とする生体信号測定装置100を提供する。
【選択図】図1
A measurement subject's pulsation component can be accurately extracted and detected from a measurement signal on which a noise component such as an artifact component is superimposed.
An irradiation unit that irradiates a living tissue of a person to be measured with light of two different wavelengths, and receives light of each wavelength that has been irradiated from the irradiation unit 10 and transmitted or reflected by the biological tissue 500, respectively. A light receiving unit 20 that converts the electrical signal into an electrical signal corresponding to the received light intensity of the light, a Hilbert transforming unit 34 and 35 that generates envelope data that constitutes an envelope by Hilbert transforming the electrical signal, and the generated envelope data A biological signal measuring device 100 comprising: an oxygen saturation calculating unit 40 that calculates a light attenuation ratio based on the light attenuation ratio and calculates blood oxygen saturation of an artery in the living tissue 500 based on the light attenuation ratio. provide.
[Selection] Figure 1

Description

本発明は、被測定者の動脈血の酸素飽和度や脈拍数を測定する生体信号測定装置および生体信号測定方法に関する。   The present invention relates to a biological signal measuring device and a biological signal measuring method for measuring the oxygen saturation and pulse rate of arterial blood of a measurement subject.

被測定者の動脈血中の酸素飽和度や脈拍数を非侵襲的に求めることにより当該被測定者の末梢循環の状態を推定する酸素飽和度測定装置が知られている(例えば特許文献1を参照)。   2. Description of the Related Art An oxygen saturation measuring device that estimates the state of peripheral circulation of a subject by noninvasively determining the oxygen saturation or pulse rate in the arterial blood of the subject (see, for example, Patent Document 1). ).

酸素飽和度測定装置は、酸素化ヘモグロビン等の対象物質に対する吸光性が異なる複数の波長の光を生体組織に透過又は反射させ、その透過光又は反射光の光量を連続的に測定することにより得られる脈波データ信号から動脈血中の酸素飽和度(SpO2)を求めるようにしたパルスオキシメータが一般的である。   The oxygen saturation measuring device transmits or reflects light of a plurality of wavelengths having different absorbances with respect to a target substance such as oxygenated hemoglobin to a living tissue, and continuously measures the amount of the transmitted or reflected light. A pulse oximeter in which the oxygen saturation (SpO2) in arterial blood is obtained from the pulse wave data signal obtained is generally used.

特開平10−216114号公報JP-A-10-216114

ところで、従来のパルスオキシメータは、測定中における被測定者の体の動きや咳などに起因するアーチファクト成分などのノイズ成分が測定信号に重畳されることにより、脈動成分が正確に検出できないことがあった。このようなノイズ成分は、場合によっては脈動成分よりもピーク強度が大きくなることがあるので、ピーク強度の最も大きな成分を脈動成分として検出する方式では脈動成分を正確に捉えることが難しかった。   By the way, the conventional pulse oximeter may not be able to accurately detect the pulsation component by superimposing a noise component such as an artifact component due to the movement of the body of the measurement subject or a cough during measurement on the measurement signal. there were. In some cases, the peak intensity of such a noise component may be larger than that of the pulsation component. Therefore, it is difficult to accurately capture the pulsation component in the method of detecting the component having the highest peak intensity as the pulsation component.

上記課題を解決するために、本発明は、2つの異なる波長の光を被測定者の生体組織に照射する照射部と、前記照射部から照射されて前記生体組織を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する受光部と、前記電気信号をヒルベルト変換して、包絡線を構成する包絡線データを生成するヒルベルト変換部と、前記包絡線データに基づいて減光度比を算出し、当該減光度比に基づいて前記生体組織における動脈の血中酸素飽和度を算出する酸素飽和度算出部とを備えることを特徴とする生体信号測定装置を提供する。   In order to solve the above problems, the present invention provides an irradiation unit that irradiates a living tissue of a person to be measured with light of two different wavelengths, and each wavelength that is irradiated from the irradiation unit and transmitted or reflected by the biological tissue. A light receiving unit that receives the light of the light and converts it into an electrical signal corresponding to the received light intensity of each light, a Hilbert conversion unit that generates an envelope data that constitutes an envelope by converting the electrical signal into a Hilbert transform, and A biological signal measurement comprising: an oxygen saturation calculating unit that calculates a light attenuation ratio based on the envelope data and calculates blood oxygen saturation of an artery in the biological tissue based on the light attenuation ratio Providing equipment.

また、上記生体信号測定装置は更に、前記包絡線データの値を正規化する正規化処理部と、正規化された前記包絡線データに基づいて脈拍数を算出する脈拍数算出部とを備えることが好ましい。   The biological signal measuring device further includes a normalization processing unit that normalizes the value of the envelope data, and a pulse rate calculation unit that calculates a pulse rate based on the normalized envelope data. Is preferred.

また、本発明は、2つの異なる波長の光を被測定者の生体組織に照射する照射段階と、前記生体組織を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する受光段階と、前記電気信号をヒルベルト変換して、包絡線を構成する包絡線データを生成するヒルベルト変換段階と、前記包絡線データに基づいて減光度比を算出し、当該減光度比に基づいて前記生体組織における動脈の血中酸素飽和度を算出する酸素飽和度算出段階とを含むことを特徴とする生体信号測定方法を提供する。   The present invention also provides an irradiation stage for irradiating the living tissue of the person to be measured with light of two different wavelengths, and receives the light of each wavelength transmitted or reflected by the living tissue, and the received light intensity of each light. A light receiving step for converting into an electrical signal, a Hilbert transform step for generating an envelope data that forms an envelope by converting the electrical signal into a Hilbert transform, and calculating a dimming ratio based on the envelope data, There is provided a biological signal measuring method comprising: an oxygen saturation calculating step of calculating blood oxygen saturation of an artery in the living tissue based on the dimming ratio.

また、上記生体信号測定方法は更に、前記包絡線データの値を正規化する正規化処理段階と、正規化された前記包絡線データに基づいて脈拍数を算出する脈拍数算出段階とを含むことが好ましい。   The biological signal measurement method further includes a normalization process stage that normalizes the value of the envelope data, and a pulse rate calculation stage that calculates a pulse rate based on the normalized envelope data. Is preferred.

本発明の生体信号測定装置および生体信号測定方法によれば、アーチファクト成分などのノイズ成分が重畳された測定信号から被測定者の脈動成分を正確に抽出して検出することができる。また、酸素飽和度算出部が、抽出部におけるヒルベルト変換部で生成された各波長の測定信号の包絡線データに基づいて減光度比を算出することにより、各波長の測定信号から直接減光度比を算出する場合に比べて、減光度比の算出値が異常値となることがなく、血中酸素飽和度をより正確に算出することができる。   According to the biological signal measuring apparatus and the biological signal measuring method of the present invention, it is possible to accurately extract and detect the pulsation component of the measurement subject from the measurement signal on which the noise component such as the artifact component is superimposed. In addition, the oxygen saturation calculation unit calculates the dimming ratio based on the envelope data of the measurement signal of each wavelength generated by the Hilbert transform unit in the extraction unit, thereby directly reducing the dimming ratio from the measurement signal of each wavelength. As compared with the case of calculating, the calculated value of the dimming ratio does not become an abnormal value, and the blood oxygen saturation can be calculated more accurately.

従来の減光度比φ(酸素飽和度)は、R(赤色光の信号)をIR(赤外光の信号)で除算するφ=R/IRの式で算出され、分母がゼロになる場合に異常値を示す欠点があった。しかし、本発明の生体信号測定装置および生体信号測定方法によれば、ヒルベルト変換による処理を行うため、分母がゼロを取らず、減光度比が異常値となる場合が少ない。   The conventional dimming ratio φ (oxygen saturation) is calculated by the equation φ = R / IR that divides R (red light signal) by IR (infrared light signal), and the denominator becomes zero. There was a defect that showed an abnormal value. However, according to the biological signal measuring apparatus and the biological signal measuring method of the present invention, since processing by Hilbert transform is performed, the denominator does not take zero, and the dimming ratio is rarely an abnormal value.

更に、本発明の生体信号測定装置および生体信号測定方法によれば、ヒルベルト変換した信号を正規化処理するため、生体信号(脈波)の周波数スペクトルを求めた際に、振幅が大きいアーチファクトは抑圧され、振幅が小さい脈波は伸長される結果、脈波スペクトルが明瞭となり、精度良く測定ができる。   Furthermore, according to the biological signal measuring apparatus and the biological signal measuring method of the present invention, since the Hilbert transformed signal is normalized, artifacts having a large amplitude are suppressed when the frequency spectrum of the biological signal (pulse wave) is obtained. As a result, the pulse wave having a small amplitude is elongated, so that the pulse wave spectrum becomes clear and measurement can be performed with high accuracy.

本発明の実施形態に係る生体信号測定装置100の機能ブロック図である。It is a functional block diagram of biological signal measuring device 100 concerning an embodiment of the present invention. IRの時間波形の一部を示す。A part of IR time waveform is shown. 図2に示すIRの時間波形を高速フーリエ変換(FFT)したときの周波数分布と振幅との関係を示す。The relationship between frequency distribution and amplitude when the time waveform of IR shown in FIG. 2 is subjected to fast Fourier transform (FFT) is shown. 従来の方法で算出された減光度比の時間波形の一例を示す。An example of the time waveform of the dimming ratio calculated by the conventional method is shown. IRの時間波形(IR)と、当該時間波形をヒルベルト変換して求めた包絡線(HIR)の波形の一例を示す。An example of an IR time waveform (IR) and an envelope (HIR) waveform obtained by Hilbert transform of the time waveform are shown. 図5に示すIRの時間波形を同図に示す包絡線で正規化した時間波形を示す。The time waveform which normalized the time waveform of IR shown in FIG. 5 with the envelope shown in the figure is shown. 図6に示す正規化されたIRの時間波形を高速フーリエ変換(FFT)したときの周波数分布と振幅との関係を示す。FIG. 7 shows the relationship between frequency distribution and amplitude when the normalized time waveform of IR shown in FIG. 6 is subjected to fast Fourier transform (FFT). Rの時間波形から生成された包絡線データとIRの時間波形から生成された包絡線データとに基づいて算出される減光度比の時間波形の一例を示す。An example of the time waveform of the dimming ratio calculated based on the envelope data generated from the R time waveform and the envelope data generated from the IR time waveform is shown.

以下、発明の実施の形態を通じて本発明を説明するが、以下の実施形態は特許請求の範囲にかかる発明を限定するものではない。また、実施形態の中で説明されている特徴の組み合わせの全てが発明の解決手段に必須であるとは限らない。   Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. In addition, not all the combinations of features described in the embodiments are essential for the solving means of the invention.

図1は、本発明の実施形態に係る生体信号測定装置100の機能ブロック図である。図1に示すように、生体信号測定装置100は、被測定者の動脈血中の酸素飽和度を測定する装置であり、照射部10と、受光部20と、抽出部30と、演算処理部40と、記憶部50と、表示部60とを備える。なお、演算処理部40は、後述のように、本発明における酸素飽和度算出部、および脈拍数算出部として機能する。   FIG. 1 is a functional block diagram of a biological signal measuring apparatus 100 according to an embodiment of the present invention. As shown in FIG. 1, the biological signal measurement device 100 is a device that measures the oxygen saturation in the arterial blood of a measurement subject, and includes an irradiation unit 10, a light receiving unit 20, an extraction unit 30, and an arithmetic processing unit 40. And a storage unit 50 and a display unit 60. As will be described later, the arithmetic processing unit 40 functions as an oxygen saturation calculation unit and a pulse rate calculation unit in the present invention.

照射部10は、発光素子11、発光素子12、および駆動回路13を有する。発光素子11および発光素子12は、2つの異なる波長の光を交互に発光するように駆動回路13によって駆動される。本例において、発光素子11は、波長がおよそ940nmの赤外光(IR)を発光する発光ダイオードであり、また、発光素子12は、波長がおよそ660nmの赤色光(R)を発光する発光ダイオードである。   The irradiation unit 10 includes a light emitting element 11, a light emitting element 12, and a drive circuit 13. The light emitting element 11 and the light emitting element 12 are driven by the drive circuit 13 so as to emit light of two different wavelengths alternately. In this example, the light emitting element 11 is a light emitting diode that emits infrared light (IR) having a wavelength of about 940 nm, and the light emitting element 12 is a light emitting diode that emits red light (R) having a wavelength of about 660 nm. It is.

なお、発光素子11および発光素子12が発光する光の波長は上記の波長に限られない。発光素子11が発光する光の波長は、例えば、血中の酸素化ヘモグロビンと無酸素化ヘモグロビンとの吸光係数差が所定値よりも大きい領域、具体的には800nmよりも短波長側の帯域内の値であって可及的に高い値に設定されることが好ましい。また、発光素子12が発光する光の波長は、例えば、血中の酸素化ヘモグロビンと無酸素化ヘモグロビンとの吸光係数差が所定値よりも小さい領域、具体的には800nmよりも長波長側の領域内の値であって可及的に低い値に設定されることが好ましい。   In addition, the wavelength of the light which the light emitting element 11 and the light emitting element 12 light-emit is not restricted to said wavelength. The wavelength of the light emitted from the light emitting element 11 is, for example, in a region where the difference in extinction coefficient between oxygenated hemoglobin and anoxic hemoglobin in blood is larger than a predetermined value, specifically in a band shorter than 800 nm. It is preferable that the value is set as high as possible. The wavelength of light emitted from the light emitting element 12 is, for example, a region where the difference in extinction coefficient between oxygenated hemoglobin and anoxic hemoglobin in blood is smaller than a predetermined value, specifically, longer wavelength than 800 nm. It is preferable to set the value within the region and as low as possible.

受光部20は、受光素子21および増幅器22を有する。受光素子21は、照射部10から被測定者の生体組織500に向けて上記の異なる2波長の光が交互に照射されると、当該生体組織500を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する。増幅器22は、受光素子21からの電気信号を所定に増幅する。本例において、受光素子21は、フォトダイオードである。また、生体組織500は、例えば被測定者の指先や耳朶でよい。   The light receiving unit 20 includes a light receiving element 21 and an amplifier 22. When the light of the two different wavelengths is alternately irradiated from the irradiation unit 10 toward the measurement subject's biological tissue 500, the light receiving element 21 receives the light of each wavelength transmitted or reflected by the biological tissue 500. And it converts into the electric signal according to the light reception intensity | strength of each light. The amplifier 22 amplifies the electric signal from the light receiving element 21 to a predetermined level. In this example, the light receiving element 21 is a photodiode. Further, the living tissue 500 may be, for example, the fingertip or earlobe of the measurement subject.

抽出部30は、マルチプレクサ31、A/D変換器32,33、ヒルベルト変換部34,35、正規化処理部36,37、および前処理部38を有する。マルチプレクサ31は、増幅器22において増幅された上記電気信号をそれぞれの光波長(R又はIR)に対応した電気信号毎に分離する。そして、分離された電気信号の一方はA/D変換器32に入力され、他方はA/D変換器33に入力される。本例では、A/D変換器32にはRの光の受光強度に応じたアナログの電気信号が入力され、A/D変換器32は、当該電気信号をデジタル化する。また、A/D変換器33にはIRの光の受光強度に応じたアナログの電気信号が入力され、A/D変換器33は、当該電気信号をデジタル化する。   The extraction unit 30 includes a multiplexer 31, A / D converters 32 and 33, Hilbert conversion units 34 and 35, normalization processing units 36 and 37, and a preprocessing unit 38. The multiplexer 31 separates the electric signal amplified by the amplifier 22 for each electric signal corresponding to each optical wavelength (R or IR). One of the separated electrical signals is input to the A / D converter 32 and the other is input to the A / D converter 33. In this example, an analog electrical signal corresponding to the received light intensity of R light is input to the A / D converter 32, and the A / D converter 32 digitizes the electrical signal. An analog electrical signal corresponding to the received light intensity of IR light is input to the A / D converter 33, and the A / D converter 33 digitizes the electrical signal.

前処理部38は、A/D変換器32およびA/D変換器33の各々でデジタル化された電気信号に対して所定の処理を実行する。ここで、所定の処理とは、酸素飽和度(減光度比φ)や脈拍数(PR)を算出するにあたって必要な既知の処理である。具体的には、所定の帯域でのバンドパスフィルタなどによるフィルタリング、RとIRにおける脈波の直流成分と交流成分の分離などがある。また、前処理部38は、必要に応じて、さらに、上記の入力信号に対して、一回差分や二重回転(例えば特許第4196209号公報に記載の処理)や一重回転(例えば特許第4352315号公報に記載の処理)などの既知の処理を実行することにより、入力する電気信号に含まれるアーチファクトに起因する成分を除去しても良い。   The preprocessing unit 38 performs a predetermined process on the electrical signal digitized by each of the A / D converter 32 and the A / D converter 33. Here, the predetermined process is a known process necessary for calculating the oxygen saturation (the dimming ratio φ) and the pulse rate (PR). Specifically, there are filtering by a band pass filter or the like in a predetermined band, separation of a direct current component and an alternating current component of pulse waves in R and IR, and the like. In addition, the pre-processing unit 38 further performs a one-time difference, double rotation (for example, processing described in Japanese Patent No. 4196209) or single rotation (for example, Japanese Patent No. 4352315) with respect to the input signal as necessary. A component caused by an artifact included in an input electric signal may be removed by executing a known process such as the process described in Japanese Patent Publication.

ヒルベルト変換部34は、A/D変換器32でデジタル化されて前処理部38において上記の処理がなされたRの受光強度に応じた電気信号をヒルベルト変換して当該電気信号の時間波形の包絡線を構成する包絡線データを生成する。また、ヒルベルト変換部35は、A/D変換器33でデジタル化されて前処理部38において上記の処理がなされたIRの受光強度に応じた電気信号をヒルベルト変換して当該電気信号の時間波形の包絡線を構成する包絡線データを生成する。ここで、ヒルベルト変換部34およびヒルベルト変換部35の各々は、より具体的には、前処理部38から入力される各光の受光強度に応じた電気信号の値を二乗した値とヒルベルト変換後の値を二乗した値の和の平方根を算出する。そして、ヒルベルト変換部34およびヒルベルト変換部35の各々は、算出した上記平方根の値を包絡線データとして出力する。   The Hilbert transform unit 34 performs Hilbert transform on the electrical signal corresponding to the received light intensity of R that has been digitized by the A / D converter 32 and subjected to the above-described processing in the pre-processing unit 38, and an envelope of the time waveform of the electrical signal Envelope data constituting the line is generated. Also, the Hilbert transform unit 35 performs a Hilbert transform on the electrical signal corresponding to the IR received light intensity digitized by the A / D converter 33 and subjected to the above processing in the pre-processing unit 38, and the time waveform of the electrical signal. Envelope data that constitutes the envelope is generated. Here, each of the Hilbert transform unit 34 and the Hilbert transform unit 35 more specifically, the value obtained by squaring the value of the electric signal corresponding to the received light intensity of each light input from the preprocessing unit 38 and the Hilbert transform Calculate the square root of the sum of the squared values. Each of the Hilbert transform unit 34 and the Hilbert transform unit 35 outputs the calculated value of the square root as envelope data.

そして、ヒルベルト変換部34は、前処理部38から入力されるRの光の受光強度に応じたデジタルの電気信号をそのまま後段の正規化処理部36へと出力するとともに、当該電気信号をヒルベルト変換して生成した包絡線データを正規化処理部36と演算処理部40へと出力する。また、ヒルベルト変換部35は、前処理部38から入力されるIRの光の受光強度に応じたデジタルの電気信号をそのまま後段の正規化処理部37へと出力するとともに、当該電気信号をヒルベルト変換して生成した包絡線データを正規化処理部37と演算処理部40へと出力する。   Then, the Hilbert transform unit 34 outputs the digital electrical signal corresponding to the received light intensity of the R light input from the pre-processing unit 38 to the normalization processing unit 36 in the subsequent stage as it is, and also converts the electrical signal into the Hilbert transform. The envelope data generated in this way is output to the normalization processing unit 36 and the arithmetic processing unit 40. Further, the Hilbert transform unit 35 outputs a digital electrical signal corresponding to the received light intensity of the IR light input from the pre-processing unit 38 to the normalization processing unit 37 at the subsequent stage, and also converts the electrical signal into the Hilbert transform. The envelope data generated in this way is output to the normalization processing unit 37 and the arithmetic processing unit 40.

正規化処理部36,37は、ヒルベルト変換部34,35から入力される上記電気信号を、同じタイミングでヒルベルト変換部34,35から入力される包絡線データに基づいて正規化する。より具体的には、正規化処理部36,37は、一のタイミングでヒルベルト変換部34,35から入力される上記電気信号の値を、同じタイミングでヒルベルト変換部34,35から入力される包絡線データの値で除した値を算出し、その算出値を正規化する。   The normalization processing units 36 and 37 normalize the electric signals input from the Hilbert conversion units 34 and 35 based on the envelope data input from the Hilbert conversion units 34 and 35 at the same timing. More specifically, the normalization processing units 36 and 37 use the values of the electric signals input from the Hilbert conversion units 34 and 35 at one timing and the envelopes input from the Hilbert conversion units 34 and 35 at the same timing. A value divided by the line data value is calculated, and the calculated value is normalized.

演算処理部40は、CPUなどの演算処理回路を有し、RAMあるいはハードディスクドライブなどで構成される記憶部50に格納されたプログラムに基づいて種々の演算処理を実行する。本例では、演算処理部40は、正規化された上記2波長のそれぞれの光に対応する周波数成分の振幅に基づいて、被測定者の動脈の脈動周波数(脈拍数)を算出する。また、演算処理部40は、ヒルベルト変換部34,35から入力される上記2波長のそれぞれの光に対応する上記包絡線データに基づいて、減光度比(Hφ)を算出する。   The arithmetic processing unit 40 includes an arithmetic processing circuit such as a CPU, and executes various arithmetic processes based on a program stored in a storage unit 50 constituted by a RAM or a hard disk drive. In this example, the arithmetic processing unit 40 calculates the pulsation frequency (pulse rate) of the artery of the measurement subject based on the amplitude of the frequency component corresponding to each of the normalized light of the two wavelengths. The arithmetic processing unit 40 calculates the dimming ratio (Hφ) based on the envelope data corresponding to the two wavelengths of light input from the Hilbert conversion units 34 and 35.

より具体的には、演算処理部40には、ヒルベルト変換部34からRの光の受光強度に応じた電気信号の時間波形から生成された包絡線データ(HR)が入力され、また、ヒルベルト変換部34からIRの光の受光強度に応じた電気信号の時間波形から生成された包絡線データ(HIR)が入力される。そして、演算処理部40は、これらの包絡線データから、以下の式(1)に基づいて減光度比(Hφ)を算出する。
Hφ=HR/HIR ・・・(1)
More specifically, the envelope data (HR) generated from the time waveform of the electrical signal corresponding to the received light intensity of the R light is input from the Hilbert transform unit 34 to the arithmetic processing unit 40, and the Hilbert transform The envelope data (HIR) generated from the time waveform of the electrical signal corresponding to the received light intensity of the IR light is input from the unit 34. Then, the arithmetic processing unit 40 calculates the dimming ratio (Hφ) from these envelope data based on the following equation (1).
Hφ = HR / HIR (1)

演算処理部40は、算出した減光度比に基づいて被測定者の動脈における生体信号を算出し、その算出結果を時系列のデータとして表示部60に出力する。表示部60は、例えばLCDなど公知の表示装置のいずれかであって、演算処理部40からの上記データ列を時間波形として表示する。また、表示部60は、演算処理部40で算出された上記脈拍数を併せて表示してもよい。なお、血中酸素飽和度の算出方法については、公知の種々の方法の何れを用いてもよい。   The arithmetic processing unit 40 calculates a biological signal in the artery of the measurement subject based on the calculated attenuation ratio, and outputs the calculation result to the display unit 60 as time-series data. The display unit 60 is one of known display devices such as an LCD, and displays the data string from the arithmetic processing unit 40 as a time waveform. The display unit 60 may also display the pulse rate calculated by the arithmetic processing unit 40. Note that any of various known methods may be used as a method for calculating blood oxygen saturation.

ここで、本実施形態に係る生体信号測定装置100を用いて被測定者の動脈血の酸素飽和度を測定する際の生体信号測定装置100における特徴的な機能についてより詳細に説明する。   Here, the characteristic function in the biological signal measuring apparatus 100 when measuring the oxygen saturation of the arterial blood of the measurement subject using the biological signal measuring apparatus 100 according to the present embodiment will be described in more detail.

図2は、A/D変換器33においてデジタル化された信号波形の一例であるIRの時間波形の一部を示す。図2に示すように、IRの時間波形は、被測定者の動脈の脈動に応じた周波数成分の他に、被測定者の体の動きや咳などに起因するアーチファクト成分など様々なノイズ成分が重畳している。とりわけ、図2に「T」および「T」を付して示す時間幅においては、脈動成分に比べて振幅が大きくかつ周波数のより小さなノイズ成分が重畳している。 FIG. 2 shows a part of an IR time waveform which is an example of a signal waveform digitized by the A / D converter 33. As shown in FIG. 2, the IR time waveform includes various noise components such as an artifact component caused by movement of the body of the subject and coughing in addition to the frequency component corresponding to the pulsation of the artery of the subject. Superimposed. In particular, in the time width indicated by “T 1 ” and “T 2 ” in FIG. 2, a noise component having a larger amplitude and smaller frequency than the pulsating component is superimposed.

図3は、図2に示すIRの時間波形を高速フーリエ変換(FFT)したときの周波数分布と振幅との関係を示す。図3に示すように、図2に示すIRの時間波形をFFT解析すると、図3に「P」を付して示す脈動成分のピーク以外に様々な周波数成分が含まれていることが分かる。とりわけ、図3に「X」を付して示す帯域の成分は、上記ノイズ成分に対応するものであるが、振幅のピークが脈動成分の振幅のピークを上回るものが含まれている。   FIG. 3 shows the relationship between frequency distribution and amplitude when the time waveform of IR shown in FIG. 2 is subjected to fast Fourier transform (FFT). As shown in FIG. 3, when the time waveform of IR shown in FIG. 2 is subjected to FFT analysis, it can be seen that various frequency components are included in addition to the peak of the pulsation component indicated by “P” in FIG. In particular, the band component indicated by “X” in FIG. 3 corresponds to the noise component, but includes a peak whose amplitude exceeds that of the pulsating component.

そして、このようなノイズ成分の重畳は、以上に例示したIRの時間波形のみならずRの時間波形においても同様である(すなわち、A/D変換器32においてデジタル化されたRの時間波形においても同様である)。したがって、これらの時間波形をそのまま利用すると、上記FFTの結果からも明らかなように、被測定者の動脈の脈動に応じた周波数成分を正確に特定することが難しい。また、従来のように、RおよびIRの各時間波形における受光タイミング毎のIRの値でRの値を除して減光度比を算出すると、例えば図4に示すように、減光度比の値が算出タイミングによって上下に大きく振れることから、血中酸素飽和度の時間変化を正確に捉えることが難しい。   Such noise component superposition is the same not only in the IR time waveform exemplified above but also in the R time waveform (that is, in the R time waveform digitized by the A / D converter 32). Is the same). Therefore, if these time waveforms are used as they are, it is difficult to accurately specify the frequency component according to the pulsation of the artery of the measurement subject, as is apparent from the result of the FFT. Further, when the dimming ratio is calculated by dividing the R value by the IR value at each light receiving timing in the R and IR time waveforms as in the prior art, for example, as shown in FIG. However, it is difficult to accurately capture the temporal change in blood oxygen saturation.

これに対し、本実施形態に係る生体信号測定装置100では、A/D変換器32,33においてデジタル化されたRおよびIRの電気信号の時間波形を上記のようにヒルベルト変換部34,35においてヒルベルト変換して当該時間波形の包絡線に変換する処理を実行する。そして、後段の正規化処理部36,37において、A/D変換器32,33においてデジタル化されたRおよびIRの電気信号を、同じタイミングでヒルベルト変換部34,35から入力される包絡線データに基づいて正規化する。   In contrast, in the biological signal measuring apparatus 100 according to the present embodiment, the time waveforms of the R and IR electrical signals digitized by the A / D converters 32 and 33 are converted into the Hilbert conversion units 34 and 35 as described above. A process of converting to an envelope of the time waveform by performing Hilbert transform is executed. Then, R and IR electric signals digitized by the A / D converters 32 and 33 in the normalization processing units 36 and 37 in the subsequent stage are subjected to envelope data input from the Hilbert transform units 34 and 35 at the same timing. Normalize based on.

図5は、IRの時間波形(IR)と、当該時間波形をヒルベルト変換して求めた包絡線(HIR)の波形の一例を示す。また、図6は、図5に示すIRの時間波形を同図に示す包絡線で正規化した時間波形を示す。また、図7は、図6に示す正規化されたIRの時間波形を高速フーリエ変換(FFT)したときの周波数分布と振幅との関係を示す。   FIG. 5 shows an example of an IR time waveform (IR) and an envelope (HIR) waveform obtained by Hilbert transform of the time waveform. FIG. 6 shows a time waveform obtained by normalizing the IR time waveform shown in FIG. 5 with the envelope shown in FIG. FIG. 7 shows the relationship between the frequency distribution and the amplitude when the normalized time waveform of IR shown in FIG. 6 is fast Fourier transformed (FFT).

図6および図7に示すように、正規化処理部36,37においてRおよびIRの時間波形をその包絡線で正規化することで、被測定者の動脈の脈動に応じた周波数成分(脈動成分)以外の成分が相対的に減衰される。したがって、図3に「X」を付して示す帯域に対応する図7に「X」を付して示す帯域の成分が抑えられ、結果として図7に「P」を付して示す脈動成分が相対的に強調されるので、当該脈動成分を正確に特定することができる。   As shown in FIGS. 6 and 7, the normalization processing units 36 and 37 normalize the R and IR time waveforms with their envelopes, so that a frequency component (pulsation component) corresponding to the pulsation of the artery of the measurement subject is obtained. Components other than) are relatively attenuated. Accordingly, the band component indicated by “X” in FIG. 7 corresponding to the band indicated by “X” in FIG. 3 is suppressed, and as a result, the pulsation component indicated by “P” in FIG. Is relatively emphasized, the pulsating component can be accurately specified.

また、本実施形態に係る生体信号測定装置100では、演算処理部40において、Rの時間波形から生成された包絡線データと、IRの時間波形から生成された包絡線データとに基づいて減光度比を算出している。図8は、演算処理部40において算出される減光度比の波形の一例を示す。図8に示すように、Rの時間波形から生成された包絡線データとIRの時間波形から生成された包絡線データとに基づいて算出される減光度比の値は、算出タイミングによらず値の変動がほとんどないことから、当該減光度比に基づいて算出される被測定者の動脈における血中酸素飽和度の信頼性が向上し、その時間変化をより正確に捉えることができる。   Further, in the biological signal measurement device 100 according to the present embodiment, the arithmetic processing unit 40 uses the envelope data generated from the R time waveform and the envelope data generated from the IR time waveform. The ratio is calculated. FIG. 8 shows an example of the waveform of the dimming ratio calculated in the arithmetic processing unit 40. As shown in FIG. 8, the value of the dimming ratio calculated based on the envelope data generated from the R time waveform and the envelope data generated from the IR time waveform is a value regardless of the calculation timing. Therefore, the reliability of the blood oxygen saturation in the artery of the measurement subject calculated based on the dimming ratio is improved, and the temporal change can be captured more accurately.

以上、本発明を実施の形態を用いて説明したが、本発明の技術的範囲は上記実施の形態に記載の範囲には限定されない。上記実施の形態に、多様な変更または改良を加えることが可能であることが当業者に明らかである。   As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment.

10 照射部
11、12 発光素子
13 駆動回路
20 受光部
21 受光素子
22 増幅器
30 抽出部
31 マルチプレクサ
32,33 A/D変換器
34,35ヒルベルト変換部
36,37 正規化処理部
38 前処理部
40 演算処理部(酸素飽和度算出部、脈拍数算出部)
50 記憶部
60 表示部
100 生体信号測定装置
500 生体組織
DESCRIPTION OF SYMBOLS 10 Irradiation part 11, 12 Light emitting element 13 Drive circuit 20 Light receiving part 21 Light receiving element 22 Amplifier 30 Extraction part 31 Multiplexer 32, 33 A / D converter 34, 35 Hilbert conversion part 36, 37 Normalization processing part 38 Preprocessing part 40 Arithmetic processor (oxygen saturation calculator, pulse rate calculator)
50 Storage Unit 60 Display Unit 100 Biological Signal Measuring Device 500 Biological Tissue

Claims (4)

2つの異なる波長の光を被測定者の生体組織に照射する照射部と、
前記照射部から照射されて前記生体組織を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する受光部と、
前記電気信号をヒルベルト変換して、包絡線を構成する包絡線データを生成するヒルベルト変換部と、
前記包絡線データに基づいて減光度比を算出し、当該減光度比に基づいて前記生体組織における動脈の血中酸素飽和度を算出する酸素飽和度算出部と
を備えることを特徴とする生体信号測定装置。
An irradiation unit for irradiating the living tissue of the person to be measured with light of two different wavelengths;
A light receiving unit that receives light of each wavelength irradiated from the irradiation unit and transmitted or reflected through the biological tissue, and converts the light into an electrical signal corresponding to the light reception intensity of each light;
Hilbert transforming the electrical signal to generate envelope data constituting an envelope by Hilbert transform;
A biological signal comprising: an oxygen saturation calculating unit that calculates a light attenuation ratio based on the envelope data, and calculates blood oxygen saturation of an artery in the biological tissue based on the light attenuation ratio. measuring device.
前記生体信号測定装置は更に、
前記包絡線データの値を正規化する正規化処理部と、
正規化された前記包絡線データに基づいて脈拍数を算出する脈拍数算出部と
を備えることを特徴とする請求項1に記載の生体信号測定装置。
The biological signal measuring device further includes
A normalization processing unit for normalizing the value of the envelope data;
The biological signal measurement device according to claim 1, further comprising: a pulse rate calculation unit that calculates a pulse rate based on the normalized envelope data.
2つの異なる波長の光を被測定者の生体組織に照射する照射段階と、
前記生体組織を透過又は反射したそれぞれの波長の光を受光し、それぞれの光の受光強度に応じた電気信号に変換する受光段階と、
前記電気信号をヒルベルト変換して、包絡線を構成する包絡線データを生成するヒルベルト変換段階と、
前記包絡線データに基づいて減光度比を算出し、当該減光度比に基づいて前記生体組織における動脈の血中酸素飽和度を算出する酸素飽和度算出段階と
を含むことを特徴とする生体信号測定方法。
An irradiation stage for irradiating the living tissue of the measurement subject with light of two different wavelengths;
A light receiving step of receiving light of each wavelength transmitted or reflected through the living tissue and converting it into an electrical signal corresponding to the light receiving intensity of each light;
Hilbert transform stage for generating envelope data constituting the envelope by Hilbert transform the electrical signal;
A biological signal comprising: calculating an attenuation ratio based on the envelope data; and calculating an oxygen saturation level of an artery in the living tissue based on the attenuation ratio. Measuring method.
前記生体信号測定方法は更に、
前記包絡線データの値を正規化する正規化処理段階と、
正規化された前記包絡線データに基づいて脈拍数を算出する脈拍数算出段階と
を含むことを特徴とする請求項3に記載の生体信号測定方法。
The biological signal measurement method further includes:
A normalization process for normalizing the value of the envelope data;
The biological signal measurement method according to claim 3, further comprising: a pulse rate calculation step of calculating a pulse rate based on the normalized envelope data.
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