CN113080944A - Bioelectrical signal and spine mobility detection method, device and system - Google Patents
Bioelectrical signal and spine mobility detection method, device and system Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for detecting bioelectricity signals and spinal motion, wherein the detection method comprises the following steps: collecting and processing bioelectric signal data of a back muscle group of a person to be tested; acquiring spine motion state data of a person to be tested; and finally, resolving and analyzing the back muscle strength and the spinal motion degree of the person to be measured based on the back muscle group bioelectric signal data and the spinal motion state data of the person to be measured to obtain the spinal motion degree data of the person to be measured and simultaneously obtain the back muscle strength data of the person to be measured. The bioelectric signal and spine mobility detection method can realize dynamic real-time monitoring of back muscle strength and spine state of a person to be detected, can be applied to detection and prevention and treatment of degenerative and malformed state of spine of old people, and can also be applied to sports science and rehabilitation treatment; the invention also discloses a device and a system adopting the method.
Description
Technical Field
The invention belongs to the field of human health detection, and particularly relates to a method, a device and a system for detecting bioelectricity signals and spinal motion.
Background
With the increase of age, the degeneration phenomenon can take place for the old person's backbone, and the backbone deformity can lead to the fact the backbone mobility to change because of the atrophy and the fatting of back muscle and the progress that accelerates, and the backbone deformity can cause the backbone mobility to change, carries out early evaluation to old person's backbone deformity degeneration, can discover the state that the old person degenerated the deformity as early as possible to carry out rehabilitation intervention as early as possible, can slow down or even prevent the further progress of deformity.
However, currently, the assessment of the degenerative and malformed state of the spine of the elderly is mainly completed by inquiring the state of illness by clinicians, especially orthopedic doctors, and the assessment method is relatively single, depends on the imaging technology, including X-ray film, CT and nuclear magnetic resonance examination, and is a static detection method with high radiation or cost, and cannot reflect the dynamic change of the spine.
Accurate measurement of trunk muscle strength and muscle endurance has great significance for maintaining sagittal balance of the elderly patients and preventing and treating; muscle strength and muscle endurance can be obtained by an electric signal feedback instrument, the traditional electromyogram acquisition method is to insert a needle electrode into muscle tissues for acquisition, and the method is traumatic and cannot exercise violently; in addition, the current instrument for acquiring surface myoelectricity in China has the problems of inconvenience in carrying, influence on activities, easiness in line interference, incapability of dynamically monitoring data in real time, lack of a third-party reminding and early warning function and the like.
Disclosure of Invention
In view of the above problems, the present invention provides a device for detecting the health status of the spine, which can dynamically detect the status of the muscle strength of the back and the mobility of the spine of a person, thereby obtaining an objective evaluation of the muscle strength of the back and the health status of the spine of the person to be detected.
The invention discloses a method for detecting bioelectricity signals and spinal motion, which comprises the following steps:
collecting bioelectrical signal data of a back muscle group of a person to be measured;
processing the collected bioelectrical signal data;
acquiring spine motion state data of a person to be tested;
and resolving and analyzing the back muscle force and the spine mobility of the person to be tested based on the bioelectricity signal data and the spine motion state data of the back muscle group of the person to be tested.
The further improvement is that the acquisition of the bioelectrical signal data of the back muscle group of the person to be measured is specifically the acquisition of the surface electromyogram signal of the back muscle group of the person to be measured.
The further improvement lies in that the process of processing the collected bioelectrical signal data specifically comprises the following steps:
carrying out differential amplification on the collected surface electromyographic signals;
filtering power frequency interference components in the surface electromyogram signals after differential amplification;
baseline drift and jitter are eliminated;
eliminating high-frequency noise;
and carrying out automatic gain control processing on the surface electromyographic signals with different strengths at different parts.
The further improvement lies in that the spine motion state data include motion acceleration and motion angular velocity, and the acquiring the spine motion state data of the person to be measured specifically includes:
collecting motion acceleration and motion angular velocity data of a person to be measured in the spinal bending process;
calibrating the collected motion acceleration and motion angular velocity data;
and carrying out smooth filtering processing on the motion acceleration and motion angular velocity data obtained after calibration.
The further improvement lies in that the specific process of calculating the back muscle force and the spinal mobility of the person to be tested comprises the following steps:
establishing a human body spine muscle and skeleton biomechanical model of the person to be detected according to the acquired bioelectrical signal data and spine motion state data of the back muscle group of the person to be detected;
analyzing and calculating the back muscle strength of the person to be measured, and analyzing and calculating the motion amplitude, the motion speed and the motion intensity of the person to be measured in the spinal bending process.
The invention also provides a bioelectric signal and spinal motion degree detection device, comprising:
the bioelectrical signal acquisition module is used for acquiring bioelectrical signal data of the back muscle group of the person to be tested and transmitting the bioelectrical signal data to the bioelectrical signal processing module;
the bioelectrical signal processing module is used for receiving and processing the bioelectrical signal data and transmitting the processed bioelectrical signal data to the communication module;
the posture sensing module is used for acquiring spinal motion state data of a person to be measured and transmitting the data to the communication module;
the communication module is used for transmitting the received spinal motion state data and the received bioelectric signal data to the resolving module;
the resolving module is used for receiving the spine motion state data and the processed bioelectricity signals, and resolving and analyzing the back muscle force and the spine mobility of the person to be detected;
the bioelectrical signal acquisition module is in communication connection with the bioelectrical signal processing module, and the bioelectrical signal processing module and the posture sensing module are in communication connection with the communication module; the communication module is in communication connection with the resolving module.
The further improvement lies in that: the bioelectrical signal acquisition module adopts a silver chloride surface electrode, and the acquired bioelectrical signal is a surface electromyographic signal of a back muscle group of the person to be detected.
In a further improvement, the bioelectric signal processing module comprises:
the variable voltage gain differential amplifier is used for carrying out differential amplification on the collected surface electromyographic signals;
the power frequency wave trap is used for filtering power frequency interference components in the surface electromyographic signals after differential amplification;
a constant drift filter for eliminating baseline drift and jitter;
a high frequency noise filter for eliminating high frequency noise;
the fine automatic gain controller is used for processing surface electromyographic signals of different parts and different strengths of the back muscle group of the person to be detected.
The further improvement lies in that: the spine motion state data specifically comprises motion acceleration and motion angular velocity data of the spine of the person to be detected.
The invention also provides a bioelectric signal and spinal motion detection system which comprises the bioelectric signal and spinal motion detection device.
The invention relates to a method for detecting bioelectricity signals and spinal motion, which comprises the steps of collecting bioelectricity signal data of a back muscle group of a person to be detected and processing the bioelectricity signal data; acquiring spine motion state data of a person to be tested; finally, resolving and analyzing the back muscle strength and the spine mobility of the person to be measured based on the back muscle group bioelectricity signal data and the spine motion state data of the person to be measured to obtain spine mobility data of the person to be measured and back muscle strength data of the person to be measured; compared with the existing back muscle strength detection method and spine health condition detection method, the bioelectricity signal and spine activity detection method provided by the invention can realize dynamic detection of back muscle strength and spine state of a person to be detected directly without depending on doctors or existing medical auxiliary detection, obtain objective detection results, greatly improve convenience degree of spine activity detection, can be applied to detection and prevention treatment of spine degeneration and malformation states of old people, and can also be applied to sports science and rehabilitation treatment. Meanwhile, the invention also discloses a device and a system adopting the method, which have 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 obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a block diagram illustrating a system of bioelectrical signals and spinal motion detection apparatus according to an embodiment of the present invention;
fig. 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 Description
In order to make the objects, 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 with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses a method for detecting bioelectricity signals and spinal motion, which comprises the following steps:
collecting bioelectrical signal data of a back muscle group of a person to be measured;
processing the collected bioelectrical signal data;
acquiring spine motion state data of a person to be tested;
and resolving and analyzing the back muscle force and the spine mobility of the person to be tested based on the back muscle group bioelectricity signal data and the spine motion state data of the person to be tested.
The back muscle strength data and the spine mobility data of the person to be tested can be obtained simultaneously by the method; compared with the existing back muscle strength detection method and spine health condition detection method, the bioelectricity signal and spine activity detection method can realize the dynamic detection of the back muscle strength and spine state of a person to be detected directly without depending on doctors or existing medical auxiliary detection, and further can make objective evaluation on the spine state and the back muscle strength state of the person to be detected, so that the convenience degree of spine activity detection is greatly improved, the spine degeneration and deformity detection method and the spine degeneration and deformity prevention treatment method can be applied to the elderly, the rehabilitation degree of the patient can be judged by comparing the muscle strength before and after the operation in the detection of the back muscle strength, and the method can be applied to sports science and rehabilitation treatment.
The method is further improved in that the acquisition of the bioelectrical signal data of the back muscle group of the person to be measured is specifically the acquisition of the surface electromyographic signal of the back muscle group of the person to be measured.
The further improvement lies in that the process of processing the collected bioelectrical signal data specifically comprises the following steps:
carrying out differential amplification on the collected surface electromyographic signals;
filtering power frequency interference components in the surface electromyogram signals after differential amplification;
baseline drift and jitter are eliminated;
eliminating high-frequency noise;
and carrying out automatic gain control processing on the surface electromyographic signals with different strengths at different parts.
The processing process can enable the strength of the collected surface electromyographic signals of different parts of the back of the person to be measured to be balanced, invalid data can be filtered out, the accuracy of the collected surface electromyographic signal data is guaranteed, and the reliability is improved.
The further improvement lies in that the spine motion state data comprise motion acceleration and motion angular velocity, and the obtaining of the spine motion state data of the person to be measured specifically comprises:
collecting motion acceleration and motion angular velocity data of a person to be measured in the spinal bending process;
calibrating the collected motion acceleration and motion angular velocity data;
and carrying out smooth filtering processing on the motion acceleration and motion angular velocity data obtained after calibration. By collecting the motion state data of the spine, the problems that the detection methods in the prior art are static detection and cannot reflect the dynamic change of the spine are solved.
The further improvement is that the specific process of calculating the back muscle force and the spinal mobility of the person to be tested comprises the following steps:
establishing a human body spine muscle and skeleton biomechanical model of the person to be detected according to the acquired bioelectrical signal data and spine motion state data of the back muscle group of the person to be detected;
analyzing and calculating the back muscle strength of the person to be measured, and analyzing and calculating the motion amplitude, the motion speed and the motion intensity of the person to be measured in the spinal bending process.
And the calculation is carried out by combining a biomechanics model of the person to be detected, so that the reliability of the detection result is further improved.
As shown in fig. 1, the present invention further provides a bioelectrical signal and spinal motion detection apparatus, which comprises a bioelectrical signal acquisition module, a bioelectrical signal processing module, a posture sensing module, a communication module and a calculation module. The bioelectricity signal acquisition module is in communication connection with the bioelectricity signal processing module, the bioelectricity signal processing module and the attitude sensing module are both in communication connection with the communication module, and the communication module is in communication connection with the resolving module.
Wherein: referring to fig. 2, the bioelectrical signal acquisition module is used for acquiring bioelectrical signal data of the back muscle group of the person to be tested and transmitting the bioelectrical signal data to the bioelectrical signal processing module; in a preferred embodiment of the invention, the bioelectrical signal acquisition module adopts a silver chloride (AgCl) surface electrode, the acquired bioelectrical signal is a surface electromyographic signal of a back muscle group of a person to be measured, and the AgCl surface electrode has biocompatibility, is safe and noninvasive, is simple to use, and is suitable for long-time omnibearing detection, especially electromyographic measurement during exercise.
The bioelectrical signal processing module is used for receiving and processing bioelectrical signal data and transmitting the processed bioelectrical signal data to the communication module;
as shown in fig. 2, the bioelectrical signal processing module of the present invention comprises:
the variable voltage gain differential amplifier is used for carrying out differential amplification on the collected surface electromyographic signals, the common mode rejection ratio of the variable voltage gain differential amplifier is larger than 140dB, the offset voltage is smaller than 50uV, the input has ESD protection, and common mode interference can be effectively inhibited;
the power frequency wave trap is used for filtering power frequency interference components in the surface electromyographic signals after differential amplification; specifically, in a specific embodiment of the present invention, a dual T trap is used to effectively suppress 50Hz power frequency interference in a signal.
A constant drift filter for eliminating baseline drift and jitter which may occur;
a high frequency noise filter for eliminating high frequency noise; specifically, the high-frequency filter adopts a Sallen-Key structure, so that the transition band change is relatively steep and the signal stability is ensured.
The fine automatic gain controller is used for processing surface electromyographic signals of different parts and different strengths of the back muscle group of the person to be detected. The fine automatic gain controller has the characteristic of programmable gain, and ensures that the device can realize the acquisition and processing of surface electromyographic signals with different strengths at different parts.
The bioelectricity signal processing module simultaneously adopts a variable voltage gain differential amplifier with a high common-mode rejection ratio, a power frequency wave trap, a high-frequency noise filter and a constant drift filter, so that the noise is effectively reduced, and the common-mode rejection capability is improved; the fine automatic gain controller ensures that the device realizes the acquisition and processing of different parts of different strength and different electromyographic signals.
The posture sensing module is used for acquiring spinal motion state data of a person to be measured and transmitting the data to the communication module; specifically, the spine motion state data specifically includes the motion acceleration and the motion angular velocity of the spine of the subject. In the specific embodiment of the invention, the attitude sensing module consists of a mems inertial chip and a collection and communication circuit thereof. The acquisition, calibration, filtering and transmission of the motion acceleration and the motion angular velocity of the device are mainly realized; the preliminarily acquired spinal motion acceleration and motion angular velocity values may have noise, and the accuracy of the spinal motion acceleration and motion angular velocity obtained after calibration and filtering is higher, so that the reliability of the detection result of the device provided by the invention is higher.
The communication module is used for transmitting the received spinal motion state data and the received bioelectric signal data to the resolving module; the communication module is a wireless communication module; according to a specific embodiment of the invention, the communication module is realized by a wireless low-power consumption data transmission device, the wireless low-power consumption data transmission device is composed of a low-power consumption Bluetooth chip and a peripheral circuit thereof, and a communication protocol sent by the communication module is a low-power consumption Bluetooth 5.0 protocol; the wireless low-power-consumption Bluetooth communication module in the embodiment has the advantages of convenience and low power consumption, the transmission distance of the latest version Bluetooth 5.0 can reach 150 meters, the Bluetooth communication is mainly used for connecting some external electronic equipment or short-distance data transmission, the limitation that various digital equipment is connected by a wired cable is broken, and when the wireless low-power-consumption Bluetooth communication module is applied to the detection device, the wearable effect of the device can be realized, and the wireless low-power-consumption Bluetooth communication module is more convenient and faster than a wired transmission mode.
And the calculating module is used for receiving the spinal motion state data and the processed bioelectricity signals, and calculating and analyzing the back muscle force and the spinal mobility of the person to be measured.
As shown in fig. 1, according to a preferred embodiment of the present invention, the device for detecting bioelectric signals and spinal motion further comprises a display module, the display module is in communication connection with the resolving module and the communication module, and the spinal motion state data and the surface electromyographic signal data are transmitted to the display module through the wireless low-power data transmission device for real-time display; and the data of the back muscle force and the spinal mobility of the person to be measured obtained by the calculation module can be displayed.
According to a preferred embodiment of the present invention, referring to fig. 1, the detecting device of the present invention further comprises a power module for supplying power to the bioelectrical signal and spinal motion detecting device, wherein the power module comprises a lithium battery and a low power consumption power management unit.
The lithium battery is a polymer lithium battery with small volume and light weight, and can be charged repeatedly.
The low-power consumption power supply management unit consists of a power supply chip and a peripheral circuit thereof. The power supply chip adopts a chip with low quiescent current and low working current, simultaneously selects a proper low-power consumption analog operational amplifier, and effectively reduces the power consumption of the system by selecting a system architecture with higher power consumption utilization rate.
The invention also provides a bioelectric signal and spinal motion detection system which comprises the bioelectric signal and spinal motion detection device.
The invention can be widely applied to communities to monitor the spine state of the old, evaluate the spine degeneration degree of the old, not only can early prevent and delay the disease development, realize diagnosis and treatment for preventing and treating the forward movement of the gateway, but also can provide key quantitative measurement index support for the operation treatment of patients with serious distortion.
In sports science and rehabilitation, exercise muscle fatigue analysis is a popular topic which is very concerned in the related fields of sports, medicine, rehabilitation and the like, and a plurality of mechanisms are dedicated to searching for a method for evaluating the muscle fatigue degree so as to make a perfect training plan or a rehabilitation course.
In addition, the method of combining surface electromyogram collection with posture induction information can actually monitor the activity states of a plurality of local muscles of a human body at the same time, is not limited to back muscle groups, is applied to physical training and patient rehabilitation training, and can obtain the coordination action mechanism and the exertion degree of different muscles in the motion state, thereby correcting wrong actions and avoiding the situations of over-training and the like.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A bioelectrical signal and spinal motion detection method is characterized by comprising the following steps:
collecting bioelectrical signal data of a back muscle group of a person to be measured;
processing the collected bioelectrical signal data;
acquiring spine motion state data of a person to be tested;
and resolving and analyzing the back muscle force and the spine mobility of the person to be tested based on the bioelectricity signal data and the spine motion state data of the back muscle group of the person to be tested.
2. The method for detecting bioelectrical signals and spinal motion according to claim 1, wherein the step of collecting bioelectrical signal data of the back muscle group of the subject is to collect surface electromyographic signals of the back muscle group of the subject.
3. The method for detecting bioelectrical signals and spinal motion according to claim 2, wherein the processing of the acquired bioelectrical signal data specifically comprises:
carrying out differential amplification on the collected surface electromyographic signals;
filtering power frequency interference components in the surface electromyogram signals after differential amplification;
baseline drift and jitter are eliminated;
eliminating high-frequency noise;
and carrying out automatic gain control processing on the surface electromyographic signals with different strengths at different parts.
4. The bioelectrical signal and spinal motion degree detection method according to claim 1 or 2, wherein the spinal motion state data includes a motion acceleration and a motion angular velocity, and the acquiring the spinal motion state data of the subject specifically includes:
collecting motion acceleration and motion angular velocity data of a person to be measured in the spinal bending process;
calibrating the collected motion acceleration and motion angular velocity data;
and carrying out smooth filtering processing on the motion acceleration and motion angular velocity data obtained after calibration.
5. The method for detecting bioelectrical signals and spinal motion according to claim 1, wherein the specific process of calculating the back muscle strength and spinal motion of the subject comprises:
establishing a human body spine muscle and skeleton biomechanical model of the person to be detected according to the acquired bioelectrical signal data and spine motion state data of the back muscle group of the person to be detected;
analyzing and calculating the back muscle strength of the person to be measured, and analyzing and calculating the motion amplitude, the motion speed and the motion intensity of the person to be measured in the spinal bending process.
6. A bioelectrical signal and spinal motion detection device, comprising:
the bioelectrical signal acquisition module is used for acquiring bioelectrical signal data of the back muscle group of the person to be tested and transmitting the bioelectrical signal data to the bioelectrical signal processing module;
the bioelectrical signal processing module is used for receiving and processing the bioelectrical signal data and transmitting the processed bioelectrical signal data to the communication module;
the posture sensing module is used for acquiring spinal motion state data of a person to be measured and transmitting the data to the communication module;
the communication module is used for transmitting the received spinal motion state data and the received bioelectric signal data to the resolving module;
the resolving module is used for receiving the spine motion state data and the processed bioelectricity signals, and resolving and analyzing the back muscle force and the spine mobility of the person to be detected;
the bioelectrical signal acquisition module is in communication connection with the bioelectrical signal processing module, and the bioelectrical signal processing module and the posture sensing module are in communication connection with the communication module; the communication module is in communication connection with the resolving module.
7. The bioelectrical signal and spinal motion detection apparatus according to claim 6, characterized in that: the bioelectrical signal acquisition module adopts a silver chloride surface electrode, and the acquired bioelectrical signal is a surface electromyographic signal of a back muscle group of the person to be detected.
8. The bioelectrical signal and spinal motion detection apparatus according to claim 7, wherein the bioelectrical signal processing module comprises, in communication connection in sequence:
the variable voltage gain differential amplifier is used for carrying out differential amplification on the collected surface electromyographic signals;
the power frequency wave trap is used for filtering power frequency interference components in the surface electromyographic signals after differential amplification;
a constant drift filter for eliminating baseline drift and jitter;
a high frequency noise filter for eliminating high frequency noise;
the fine automatic gain controller is used for processing surface electromyographic signals of different parts and different strengths of the back muscle group of the person to be detected.
9. The bioelectrical signal and spinal motion detection apparatus according to claim 6, characterized in that: the spine motion state data specifically comprises motion acceleration and motion angular velocity data of the spine of the person to be detected.
10. A bioelectric signal and spinal motion detection system comprising the bioelectric signal and spinal motion detection apparatus according to any one of claims 6 to 9.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1883387A (en) * | 2006-06-30 | 2006-12-27 | 中国科学院合肥物质科学研究院 | Distributed device for testing acceleration of human movement segments |
| CN103054585A (en) * | 2013-01-21 | 2013-04-24 | 杭州电子科技大学 | Biological motion information based upper limb shoulder elbow wrist joint motion function evaluation method |
| WO2013177592A2 (en) * | 2012-05-25 | 2013-11-28 | Emotiv Lifesciences, Inc. | System and method for providing and aggregating biosignals and action data |
| CN107137080A (en) * | 2017-05-25 | 2017-09-08 | 中国科学院深圳先进技术研究院 | Chronic back pain patient muscle's active state determination methods and system |
| CN109804331A (en) * | 2016-12-02 | 2019-05-24 | 皮松科技股份有限公司 | Bodily tissue electric signal is detected and used |
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2021
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1883387A (en) * | 2006-06-30 | 2006-12-27 | 中国科学院合肥物质科学研究院 | Distributed device for testing acceleration of human movement segments |
| WO2013177592A2 (en) * | 2012-05-25 | 2013-11-28 | Emotiv Lifesciences, Inc. | System and method for providing and aggregating biosignals and action data |
| CN103054585A (en) * | 2013-01-21 | 2013-04-24 | 杭州电子科技大学 | Biological motion information based upper limb shoulder elbow wrist joint motion function evaluation method |
| CN109804331A (en) * | 2016-12-02 | 2019-05-24 | 皮松科技股份有限公司 | Bodily tissue electric signal is detected and used |
| CN107137080A (en) * | 2017-05-25 | 2017-09-08 | 中国科学院深圳先进技术研究院 | Chronic back pain patient muscle's active state determination methods and system |
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