CN113080944B - A method, device and system for detecting bioelectrical signals and spinal mobility - Google Patents

Abstract

The invention discloses a bioelectric signal and spinal activity detection method, device and system, wherein the detection method comprises the following steps: collecting and processing bioelectric signal data of the back muscle group of the person to be tested; acquiring spinal motion state data of a person to be tested; and finally, based on the back muscle group bioelectric signal data and the spine movement state data of the tested person, resolving and analyzing the back muscle force and the spine movement degree of the tested person to obtain the spine movement degree data of the tested person, and simultaneously obtaining the back muscle force data of the tested person. The bioelectric signal and spine activity detection method can realize dynamic real-time monitoring of the back muscle force and spine state of a person to be detected, can be applied to detection and prevention and treatment of spine degeneration deformity state of the elderly, and can also be applied to sports science and rehabilitation treatment; the invention also discloses a device and a system adopting the method.

Description

A method, device and system for detecting bioelectrical signals and spinal mobility

Technical field

The invention belongs to the field of human health detection, and particularly relates to a method, device and system for detecting bioelectric signals and spinal mobility.

Background technique

As age increases, the spine of the elderly will degenerate. Spinal deformity will accelerate due to atrophy and fatification of the back muscles. Spinal deformity will cause changes in spinal mobility. Early evaluation of spinal deformity and degeneration in the elderly is required. The degenerative deformity of the elderly can be detected as early as possible, and rehabilitation intervention can be carried out as early as possible, which can slow down or even prevent the further progression of the deformity.

However, the current assessment of spinal degeneration and deformity in the elderly mainly relies on clinicians, especially orthopedic surgeons, to inquire about the condition. The assessment method is also relatively simple and relies on imaging technology, including X-rays, CT and MRI. The examinations involve radiation or are expensive, and they are all static detection methods that cannot reflect the dynamic changes of the spine.

Accurate measurement of trunk muscle strength and muscle endurance is of great significance to the maintenance of sagittal balance and preventive treatment of elderly patients; muscle strength and muscle endurance can be obtained through electrical signal feedback instruments. The traditional electromyography acquisition method is to insert needle electrodes into This method is invasive and cannot be used for strenuous exercise; in addition, my country's current equipment for collecting surface electromyography is inconvenient to carry, affects activities, and is easily interfered by wires. At the same time, the data cannot be dynamically monitored in real time, and there is a lack of third parties. Issues such as reminder and early warning functions.

Contents of the invention

In response to the above problems, the present invention provides a device for detecting the health status of the spine, which can dynamically detect the status of a person's back muscle strength and spinal mobility, thereby obtaining an objective evaluation of the health status of the person's back muscle strength and spine.

A bioelectrical signal and spinal mobility detection method of the present invention includes the following steps:

Collect bioelectrical signal data of the subject’s back muscles;

Process the collected bioelectrical signal data;

Obtain the spinal motion status data of the subject;

Based on the bioelectric signal data of the subject's back muscles and the spinal motion state data, the subject's back muscle strength and spinal mobility are calculated and analyzed.

A further improvement is that the collection of bioelectric signal data of the back muscle groups of the subject is specifically to collect the surface electromyographic signals of the back muscle groups of the subject.

A further improvement is that the process of processing the collected bioelectrical signal data specifically includes:

differentially amplify the collected surface electromyographic signals;

Filter the power frequency interference component in the surface electromyographic signal after differential amplification;

Eliminate baseline drift and jitter;

Eliminate high frequency noise;

Perform automatic gain control processing on surface electromyography signals with different strengths and weaknesses in different parts.

A further improvement is that the spinal motion state data includes motion acceleration and motion angular velocity, and obtaining the spinal motion state data of the subject specifically includes:

Collect the movement acceleration and movement angular velocity data of the subject during the spinal bending process;

Calibrate the collected motion acceleration and motion angular velocity data;

Smooth filtering is performed on the motion acceleration and motion angular velocity data obtained after calibration.

A further improvement is that the specific process of calculating the back muscle strength and spinal mobility of the subject includes:

Based on the obtained bioelectrical signal data of the back muscles and spinal motion status data of the subject, a human spine musculoskeletal biomechanical model of the subject is established;

Analyze and calculate the strength of the back muscles of the subject, and analyze and calculate the range of motion, speed and intensity of the subject's spine during curvature.

The invention also provides a device for detecting bioelectrical signals and spinal mobility, which includes:

The bioelectrical signal acquisition module is used to collect the bioelectrical signal data of the back muscles of the subject and transmit it to the bioelectrical signal processing module;

A bioelectrical signal processing module is used to receive and process the bioelectrical signal data, and transmit the processed bioelectrical signal data to the communication module;

A posture sensing module is used to obtain the spinal motion status data of the subject and transmit it to the communication module;

The communication module is used to transmit the received spinal motion status data and bioelectrical signal data to the solution module;

The calculation module is used to receive the spinal motion status data and processed bioelectric signals, and to calculate and analyze the back muscle strength and spinal mobility of the subject;

The bioelectrical signal acquisition module is communicatively connected with the bioelectrical signal processing module, the bioelectrical signal processing module and the posture sensing module are communicatively connected with the communication module; the communication module is communicatively connected with the solving module .

A further improvement is that the bioelectrical signal acquisition module uses silver chloride surface electrodes, and the bioelectrical signals collected are the surface electromyographic signals of the back muscles of the subject.

A further improvement is that the bioelectrical signal processing module includes:

Variable voltage gain differential amplifier, used to differentially amplify the collected surface electromyographic signals;

Power frequency notch filter, used to filter the power frequency interference component in the surface electromyographic signal after differential amplification;

Constant drift filter, used to eliminate baseline drift and jitter;

High-frequency noise filter, used to eliminate high-frequency noise;

The precise automatic gain controller is used to process the surface electromyographic signals of different strengths and weaknesses in different parts of the subject's back muscles.

A further improvement is that the spinal motion state data specifically includes motion acceleration and motion angular velocity data of the subject's spine.

The present invention also provides a bioelectrical signal and spinal mobility detection system, which includes the aforementioned bioelectrical signal and spinal mobility detection device.

The present invention provides a method for detecting bioelectrical signals and spinal mobility. It collects bioelectrical signal data of the back muscles of a subject and processes them; obtains spinal motion status data of the subject; and finally based on the bioelectrical signals of the back muscles of the subject. The electrical signal data and spinal motion status data are used to calculate and analyze the subject's back muscle strength and spinal mobility to obtain the subject's spine mobility data, and at the same time obtain the subject's back muscle strength data; compared with The existing back muscle strength detection method and spine health status detection method adopt the bioelectric signal and spinal mobility detection method of the present invention, which does not rely on doctors or existing medical auxiliary detection, but can directly test the back muscles of the subject. The dynamic detection of force and spinal status can obtain objective detection results, which greatly improves the convenience of spinal mobility detection. It can be applied to the detection and preventive treatment of spinal degeneration and deformity in the elderly, and can also be used in sports science and rehabilitation treatment. At the same time, the invention also discloses a device and system using the method, which has all the beneficial effects of the method.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and obtained by the structure pointed out in the written description, claims and appended drawings.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 shows a system block diagram of a bioelectric signal and spinal mobility detection device according to an embodiment of the present invention;

Figure 2 shows a block diagram of a bioelectrical signal acquisition module and a bioelectrical signal processing module according to an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

A bioelectrical signal and spinal mobility detection method of the present invention includes the following steps:

Collect bioelectrical signal data of the subject’s back muscles;

Process the collected bioelectrical signal data;

Obtain the spinal motion status data of the subject;

Based on the bioelectrical signal data of the back muscles of the subject and the motion status data of the spine, the back muscle strength and spinal mobility of the subject are calculated and analyzed.

Through the above method, the back muscle strength data and spinal mobility data of the subject can be obtained simultaneously; compared with the existing back muscle strength detection method and spine health status detection method, the bioelectric signal and spinal mobility detection method of the present invention is used This method does not rely on doctors or existing medical auxiliary testing, but can directly dynamically detect the back muscle strength and spine status of the subject, and then make an objective evaluation of the spine status and back muscle strength status of the subject. It greatly improves the convenience of detecting spinal mobility and can be applied to the detection and preventive treatment of spinal degeneration and deformity in the elderly. The detection of back muscle strength can judge the patient's recovery degree by comparing the muscle strength before and after surgery. The method of the present invention Can be used in sports science and rehabilitation therapy.

A further improvement lies in collecting the bioelectric signal data of the back muscle groups of the subject, specifically collecting the surface electromyographic signals of the back muscle groups of the subject.

A further improvement is that the process of processing the collected bioelectric signal data specifically includes:

Differentially amplify the collected surface electromyographic signals;

Filter the power frequency interference component in the surface electromyographic signal after differential amplification;

Eliminate baseline drift and jitter;

Eliminate high frequency noise;

Perform automatic gain control processing on surface electromyography signals with different strengths and weaknesses in different parts.

This processing process can balance the strength of the collected surface electromyography signals from different parts of the subject's back, and can filter out invalid data to ensure the accuracy of the collected surface electromyography signal data and improve reliability. .

A further improvement is that the spinal motion status data includes motion acceleration and motion angular velocity. Obtaining the spine motion status data of the subject specifically includes:

Collect the movement acceleration and movement angular velocity data of the subject during the spinal bending process;

Calibrate the collected motion acceleration and motion angular velocity data;

Smooth filtering is performed on the motion acceleration and motion angular velocity data obtained after calibration. By collecting the motion status data of the spine, the problem that the detection methods in the existing technology are all static detection and cannot reflect the dynamic changes of the spine is overcome.

A further improvement is that the specific process of calculating the back muscle strength and spinal mobility of the subject includes:

Based on the obtained bioelectrical signal data of the back muscles and spinal motion status data of the subject, a human spine musculoskeletal biomechanical model of the subject is established;

Analyze and calculate the strength of the back muscles of the subject, and analyze and calculate the range of motion, speed and intensity of the subject's spine during curvature.

The calculation is performed based on the biomechanical model of the subject to further improve the reliability of the test results.

As shown in Figure 1, the present invention also provides a bioelectrical signal and spinal mobility detection device, which includes a bioelectrical signal acquisition module, a bioelectrical signal processing module, a posture sensing module, a communication module and a decoding module. Among them, the bioelectric signal acquisition module is communicatively connected to the bioelectric signal processing module, the bioelectric signal processing module and the attitude sensing module are both communicatively connected to the communication module, and the communication module is communicatively connected to the solution module.

Among them: Referring to Figure 2, the bioelectrical signal acquisition module is used to collect bioelectrical signal data of the back muscles of the subject and transmit it to the bioelectrical signal processing module; in a preferred embodiment of the present invention, the bioelectrical signal acquisition module adopts Silver chloride (AgCl) surface electrode collects bioelectrical signals from the surface electromyographic signals of the back muscles of the subject. The AgCl surface electrode is biocompatible, safe, non-invasive, easy to use, and suitable for long-term all-round testing. Especially myoelectric measurement during exercise.

The bioelectrical signal processing module is used to receive and process bioelectrical signal data, and transmit the processed bioelectrical signal data to the communication module;

As shown in Figure 2, the bioelectric signal processing module of the present invention includes:

The variable voltage gain differential amplifier is used to differentially amplify the collected surface electromyographic signals. Its common mode rejection ratio is greater than 140dB, the offset voltage is less than 50uV, and the input has ESD protection, which can effectively suppress common mode interference;

The power frequency notch is used to filter the power frequency interference component in the surface electromyographic signal after differential amplification; specifically, in a specific embodiment of the present invention, a double T notch is used to effectively suppress the 50Hz interference component in the signal. Power frequency interference.

Constant drift filter, used to eliminate possible baseline drift and jitter;

The high-frequency noise filter is used to eliminate high-frequency noise; specifically, the high-frequency filter adopts the Sallen-Key structure to ensure that the transition band changes are relatively steep and the signal is stable.

The precise automatic gain controller is used to process the surface electromyographic signals of different strengths and weaknesses in different parts of the subject's back muscles. The precision automatic gain controller has the feature of programmable gain, which ensures that the device can collect and process surface electromyography signals with different strengths and weaknesses in different parts.

The bioelectrical signal processing module also uses a variable voltage gain differential amplifier with a high common mode rejection ratio, a power frequency trap, a high frequency noise filter, and a constant drift filter to effectively reduce noise and improve common mode rejection capabilities. ; The fine automatic gain controller ensures that the device can collect and process myoelectric signals with different strengths and weaknesses in different parts.

The posture sensing module is used to obtain the spine motion status data of the subject and transmit it to the communication module; specifically, the spine motion status data specifically includes the motion acceleration and motion angular velocity of the spine of the subject. In a specific embodiment of the present invention, the attitude sensing module is composed of a mems inertial chip and its acquisition and communication circuits. It mainly realizes the collection, calibration, filtering and transmission of the motion acceleration and motion angular velocity of the device; the initially collected spine motion acceleration and motion angular velocity values may contain noise, and the accuracy of the spine motion acceleration and motion angular velocity obtained after calibration and filtering processing is Higher, the detection results of the device of the present invention can be made more reliable.

The communication module is used to transmit the received spinal motion status data and bioelectrical signal data to the calculation module; the communication module is a wireless communication module; according to a specific embodiment of the present invention, the communication module is implemented through a wireless low-power data transmission device , the wireless low-power data transmission device is composed of a low-power Bluetooth chip and its peripheral circuits. The communication protocol sent by the communication module is the low-power Bluetooth 5.0 protocol; other methods that can realize data transmission can also be used. In this embodiment The wireless low-power Bluetooth communication module has the advantages of convenience and low power consumption. The latest version of Bluetooth 5.0 can reach a transmission distance of 150 meters. Bluetooth communication is mainly used to connect some external electronic devices or transmit data at short distances, breaking the need for wired Cables are used to connect various digital devices. When used in the detection device of the present invention, the device of the present invention can be worn, which is more convenient than the wired transmission method.

The calculation module is used to receive spinal motion status data and processed bioelectric signals, and to calculate and analyze the back muscle strength and spinal mobility of the subject.

As shown in Figure 1, according to a preferred embodiment of the present invention, the bioelectrical signal and spinal mobility detection device also includes a display module, the display module is connected to the calculation module and the communication module, spinal motion status data and surface electromyographic signals The data is transmitted to the display module through a wireless low-power data transmission device for real-time display; the patient's back muscle strength and spinal mobility data calculated by the calculation module can also be displayed.

According to a preferred embodiment of the present invention, referring to Figure 1, the detection device of the present invention also includes a power module for providing power to the bioelectrical signal and spinal mobility detection device. The power module includes a lithium battery and a low-power power supply. management unit.

Among them, lithium batteries use polymer lithium batteries that are small in size and light in weight, and can be charged repeatedly.

The low-power power management unit consists of a power chip and its peripheral circuits. The power supply chip adopts a chip with low quiescent current and low operating current, and at the same time selects a suitable low-power analog operational amplifier. By selecting a system architecture with relatively high power consumption utilization, the power consumption of the system is effectively reduced.

The present invention also provides a bioelectrical signal and spinal mobility detection system, which includes the aforementioned bioelectrical signal and spinal mobility detection device.

The invention can be widely used in the community to monitor the spinal status of the elderly and evaluate the degree of spinal degeneration of the elderly. It can not only prevent and delay the development of the disease in the early stage, realize diagnosis and treatment, prevent and treat forward movement, but also provide the key to surgical treatment of patients with severe deformation. Quantitative measurement indicator support.

In sports science and rehabilitation treatment, the analysis of exercise-induced muscle fatigue is a hot topic of great concern in sports, sports, medicine, rehabilitation and other related fields. Many institutions are committed to finding methods to assess the degree of muscle fatigue, so as to formulate complete training plans or rehabilitation During the course of treatment, in the present invention, by detecting the back muscle strength of the subject, the degree of recovery of the patient can be judged by comparing the muscle strength before and after surgery.

In addition, the method of surface electromyography collection combined with posture sensing information can actually monitor the activity status of multiple local muscles in the human body at the same time. It is not limited to the back muscles. It can be used in physical exercise and patient rehabilitation training to obtain different muscles during exercise. The coordinated movement mechanism and force level can be used to correct incorrect movements and avoid overtraining.

Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these Modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims (3)

1. A method for detecting bioelectrical signals and spinal mobility, characterized in that it includes the following steps: The bioelectrical signal data of the back muscle groups of the subject is collected through silver chloride surface electrodes, specifically: collecting the surface electromyographic signals of the back muscle groups of the subject; Processing the collected bioelectrical signal data specifically includes: differentially amplifying the collected surface myoelectrical signal; filtering the power frequency interference component in the differentially amplified surface myoelectrical signal; and eliminating the baseline Drift and jitter; adopt Sallen-Key structure high-frequency noise filter to eliminate high-frequency noise; perform automatic gain control processing on surface electromyography signals with different strengths and weaknesses in different parts; Obtaining the movement status data of the subject's spine, which includes movement acceleration and movement angular velocity. The obtaining the movement status data of the subject's spine specifically includes: collecting the movement acceleration and movement angular velocity data during the bending process of the subject's spine. ; Calibrate the collected motion acceleration and motion angular velocity data; perform smoothing filtering on the motion acceleration and motion angular velocity data obtained after calibration; Based on the bioelectric signal data of the back muscles of the subject and the spinal motion state data, the back muscle strength and spinal mobility of the subject are calculated and analyzed, wherein the calculation obtains the back muscle strength and spinal mobility of the subject. The specific process of muscle strength and spinal mobility includes: establishing the human spine musculoskeletal biomechanical model of the subject based on the bioelectrical signal data of the back muscles and spinal motion status data obtained; The force magnitude is analyzed and calculated, and the movement range, movement speed and movement intensity of the subject's spine during curvature are analyzed and calculated. 2. A device for detecting bioelectrical signals and spinal mobility, characterized in that it includes: The bioelectrical signal acquisition module is used to collect the bioelectrical signal data of the back muscle groups of the subject and transmit it to the bioelectrical signal processing module. The collected bioelectrical signals are the surface electromyographic signals of the back muscle groups of the subject; where, The bioelectric signal acquisition module uses silver chloride surface electrodes; Bioelectrical signal processing module, used to receive the bioelectrical signal data and process it, and transmit the processed bioelectrical signal data to the communication module; the bioelectrical signal processing module includes: variable voltage gain connected by communication in sequence The differential amplifier is used to differentially amplify the collected surface electromyography signal; the power frequency notch is used to filter the power frequency interference component in the surface electromyography signal after differential amplification; the constant drift filter is used It is used to eliminate baseline drift and jitter; the high-frequency noise filter is used to eliminate high-frequency noise; the fine automatic gain controller is used to process the surface electromyographic signals of different strengths and weaknesses in different parts of the back muscles of the subject; among them , the high-frequency noise filter adopts Sallen-Key structure; The posture sensing module is used to obtain the spine motion status data of the subject and transmit it to the communication module; the spine motion status data includes motion acceleration and motion angular velocity. The acquisition of the spine motion status data of the subject specifically includes: collecting the spine motion status data of the subject. Measure the motion acceleration and motion angular velocity data during the spine bending process; calibrate the collected motion acceleration and motion angular velocity data; perform smoothing filtering on the motion acceleration and motion angular velocity data obtained after calibration; The communication module is used to transmit the received spinal motion status data and bioelectrical signal data to the solution module; The calculation module is used to receive the spinal motion status data and processed bioelectric signals, and calculate and analyze the back muscle strength and spinal mobility of the subject; wherein, the calculation results are The specific process of testing the subject's back muscle strength and spinal mobility includes: establishing the subject's human spine musculoskeletal biomechanical model based on the obtained bioelectrical signal data of the subject's back muscles and spinal motion state data; Analyze and calculate the patient's back muscle strength, and analyze and calculate the range of motion, speed and intensity of the patient's spine during curvature; The bioelectrical signal acquisition module is communicatively connected with the bioelectrical signal processing module, the bioelectrical signal processing module and the posture sensing module are communicatively connected with the communication module; the communication module is communicatively connected with the solving module . 3. A bioelectrical signal and spinal mobility detection system, characterized by comprising the bioelectrical signal and spinal mobility detection device according to claim 2.