CN110584665A - Health detection device - Google Patents
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention relates to a health detection device, comprising: the electrodes are used for collecting electromyographic signals of acupuncture points at different positions of a human body; the amplifying module comprises a first preamplifier and a second amplifier, and the electromyographic signals are finally amplified by 800-1000 times; the filtering module sequentially adopts an analog filtering mode and a digital filtering mode to filter the myoelectric signals amplified by the amplifying module; the processing module receives the electromyographic signals filtered by the filtering module and analyzes the health condition of the user according to the electromyographic signals; and the wireless communication module sends the health condition of the user to a cloud end or a mobile terminal. The device improves the electromyographic signal accuracy, and can comprehensively reflect the health condition of the body of the user by simultaneously detecting the electromyographic signals of acupuncture points at different positions of the body.
Description
Technical Field
The invention relates to a health detection device, and belongs to the field of electric signal acquisition.
Background
The electromyographic signal is the electrical signal source for generating muscle force, is the superposition of action potentials of a plurality of movement units in muscles on time and space, reflects the functional states of nerves and muscles, and has wide application in basic medical research, clinical diagnosis and rehabilitation engineering.
At present, two main methods are available for detecting electromyographic signals, one method is clinical electromyographic examination, electrodes are mostly adopted to be directly inserted into muscles for detection, the signals are strong, the interference is small, the positioning is good, the data is accurate, but the method is limited to invasive detection; the other surface electromyographic signal is a bioelectricity signal sent out when the neuromuscular activity is recorded from the surface of the skin of a human body through the electrode, the non-invasive detection is achieved, the receiving degree of a user is high, the operation is simple, but the surface electromyographic signal is very weak, mostly in millivolt magnitude, and is greatly influenced by the external environment, so that the body condition of the user cannot be well reflected.
According to the zang-fu theory of traditional Chinese medicine, the meridians and collaterals and acupoints of the human body have low resistance and pathological trend, and when the zang-fu diseases and physiological functions are changed, the conductivity of the skin at the acupoints has pathological reaction and relative specificity. This provides theoretical basis and objective basis for determining human body function and pathological change by measuring electrical characteristics of channels, collaterals and acupoints with electronic equipment. However, as described above, the electromyographic signals of the human body are weak, and only reach millivolt level, and the change value is more tiny, and is difficult to detect. Therefore, although there is a theory that the physiological health condition of a human body can be reflected by a bioelectric signal or other bioelectric signal, there are few apparatuses for actually detecting the health of a human body by using an electromyographic signal, and the accuracy of detection by such a health detection apparatus is also greatly questionable.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a multi-acupoint health detection device, which simultaneously collects myoelectric signals of multiple acupoints at different positions and determines the health status of a user according to the corresponding relationship between the acupoints and meridians and viscera.
In order to achieve the purpose, the invention adopts the following technical scheme: the present invention provides a health detection apparatus, comprising: the detection module is used for simultaneously collecting electromyographic signals of acupuncture points at different positions of a human body; the amplification module comprises a first preamplifier and a second amplifier which are sequentially arranged and is used for amplifying the electromyographic signals; the filtering module removes background interference signals of the amplified electromyographic signals through analog filtering and digital filtering which are sequentially arranged; the processing module is used for comparing the processed electromyographic signals with a preset value and judging the health condition of the user according to the comparison result; the display module is used for displaying the health condition of the user; the detection module, the amplification module, the processing module and the display module are sequentially in communication connection, the processing module receives the electromyographic signals of the filtering module, compares the electromyographic signals with a preset value, and sends the user health status obtained through comparison to the display module to be displayed.
Further, the health detection device further comprises a database, and the preset value is a normal electromyographic signal stored in the database or an electromyographic signal obtained by measuring the previous period.
Further, when the difference between the electromyographic signal in the processing module and a preset value exceeds a preset threshold value, the display device draws the attention of the user through an alarm or sends a detection result to a mobile terminal of the user through a wireless communication transmitter.
Further, the analog filtering mode sequentially comprises high-frequency filtering, low-frequency filtering and 50Hz power frequency notch filtering.
Further, the digital filtering manner includes a filtering method based on wavelet transform.
Furthermore, the processing module comprises a main control chip, the digital filtering module and the processing module are arranged on the main control chip, and the electromyographic signals passing through the filtering module are transmitted to the main control chip through at least one multi-channel A/D converter.
Furthermore, the number of the multichannel A/D converters is at least two, and a multiplexer or an analog switch is further arranged between the multichannel A/D converters and the main control chip.
Further, the processing module determines a treatment strategy according to the health condition of the user obtained by the processing module, and emits micro-current to corresponding acupuncture points according to the treatment strategy so as to stimulate the corresponding acupuncture points.
Further, the first preamplifier is used for preliminarily amplifying the electromyographic signals collected by the electrodes and inhibiting common-mode interference of the electromyographic signals.
Further, the electrodes are divided into four groups, wherein, the electrodes of 10 acupuncture points on the left hand and the electrodes of 1 acupuncture point on the right foot form one group; the electrodes of 10 acupuncture points on the right hand and the electrodes of 1 acupuncture point on the left foot form a group; the left 1 acupoint electrode of the left hand and the left 10 acupoint electrodes of the right foot form a group; the electrodes of the remaining 1 acupoint on the right hand and the electrodes of the remaining 10 acupoints on the left foot form a group.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. aiming at the problem that the acupoint electromyographic signals are weak, the acupoint electromyographic signals are amplified by two stages, the signals are amplified by 800 times and 1000 times, external interference of the signals is filtered out by combining a filtering mode of analog filtering and digital filtering, and the accuracy of the electromyographic signals is improved. 2. As the invention collects the electromyographic signals of the acupuncture points of the upper limb and the lower limb of the human body, according to the theory of traditional Chinese medicine, the acupuncture points can reflect the pathological change trend of the viscera, meridians and collaterals; the myoelectric signals of the acupuncture points are detected to correspond to the pathological changes of the meridians and the viscera, so that the pathological change trends of the meridians and the viscera are expressed, quantitative data reference is provided for further diagnosis, and doctors are assisted to obtain correct diagnosis results. 3. The multi-channel A/D converter is adopted, so that the electromyographic signals of a plurality of acupuncture points at different positions of a body can be detected simultaneously, and the health condition of the body of a user can be comprehensively reflected by collecting the electromyographic signals of the acupuncture points at different positions of the body. 4. The wireless communication equipment informs the user of the detection result in time, so that the user can detect the health condition of the user in real time.
Drawings
FIG. 1 is a schematic diagram of an electromyographic signal data acquisition device according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an amplification module and a filtering module in accordance with an embodiment of the invention;
FIG. 3 is a schematic diagram of the communication connection between the main control chip and the 4 multi-channel A/D converters according to an embodiment of the present invention.
Detailed Description
The present invention is described in detail below with reference to the attached drawings. It is to be understood, however, that the drawings are provided solely for the purposes of promoting an understanding of the invention and that they are not to be construed as limiting the invention. In the description of the present invention, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The present invention provides a health detection apparatus, as shown in fig. 1, including: the detection module is used for simultaneously collecting electromyographic signals of acupuncture points at different positions of a human body; the amplification module comprises a first preamplifier and a second amplifier which are sequentially arranged and is used for amplifying the electromyographic signals; the filtering module removes background interference signals of the amplified myoelectric signals through analog filtering and digital filtering which are sequentially arranged; the processing module is used for comparing the processed electromyographic signals with a preset value and judging the health condition of the user according to the comparison result; the display module is used for displaying the health condition of the user; the detection module, the amplification module, the processing module and the display module are sequentially in communication connection, the processing module receives the electromyographic signals of the filtering module, compares the electromyographic signals with a preset value, and sends the user health conditions obtained through comparison to the display module to be displayed. According to the technical scheme, the problem that the acupoint myoelectric signals are too small and are seriously interfered by the environment is solved, the signals are amplified and the environmental noise is removed through twice amplification, analog filtering and digital filtering, so that the acupoint myoelectric signals are more urgent and accurate, and the reliability is high.
According to the theory of traditional Chinese medicine, the acupuncture points can reflect the health and pathological changes of viscera and meridians; the myoelectric signals of the acupuncture points are detected, and the myoelectric signals correspond to the physiological functions and pathological changes of the viscera and meridians, so that the physiological functions and pathological change trends of the viscera and meridians are expressed, quantitative data reference is provided for further diagnosis, and a doctor is assisted to obtain a correct diagnosis result. Therefore, the present embodiment includes a database, and the preset value is a normal electromyographic signal stored in the database or an electromyographic signal obtained by measuring a past period. When the difference between the electromyographic signal in the processing module and a preset value exceeds a preset threshold value, the display device draws the attention of a user through an alarm or sends a detection result to a mobile terminal of the user through a wireless communication transmitter.
In the present embodiment, the electromyographic signals include 11 acupoints, 44 acupoints for each of the left hand, the right hand, the left foot, and the right foot. In order to make the information contained in the collected electromyographic signals of each acupuncture point richer and more complete, the acupuncture points are divided into 4 groups, wherein 10 acupuncture points on the left hand and 1 acupuncture point on the right foot form one group, and 10 acupuncture points on the right hand and 1 acupuncture point on the left foot form one group; the left 1 acupoint of the left hand and the left 10 acupoints of the right foot form a group, and the left 1 acupoint of the right hand and the left 10 acupoints of the left foot form a group. The collected 44 points correspond to twelve primary points, which are the points where the original qi of the zang-fu organs and meridians pass and are stopped, eight extra meridians, and eight extra meridians, which are the twelve primary points near the wrist and ankle joints. The original points of the yin channel are the five points of the meridian, and the yang channel is located at the other points. The primary points can be used to treat the pathological changes of the zang-fu organs and meridians, or to predict the abundance or insufficiency of the zang-fu organs according to the reaction changes of the primary points. The twelve primary points are respectively: the ruin points corresponding to the gallbladder channel; taichong point corresponding to liver meridian; the wrist bone corresponding to the small intestine meridian; shenmen point corresponding to the heart meridian; chong Yang acupoint corresponding to stomach meridian; taibai acupoint corresponding to spleen meridian; the Hegu acupoint corresponding to the large intestine meridian; taiyuan acupoint corresponding to lung meridian; jinggu acupoint corresponding to bladder meridian; taixi acupoint corresponding to kidney meridian; the corresponding yang chi acupoint of the triple energizer meridian; the pericardium meridian belongs to the Da Ling acupoint. The eight confluent points of the eight extra meridians refer to eight points where the eight extra meridians cross the twelve main meridians, which are located below the knee joints, including the Gongsun point, Neiguan point, Waiguan point, Zulinqi point, Zhaohai point, Lianhui point, Shenmai point and Xixi point. The qi and blood circulation states of the eight meridians can be analyzed by collecting the myoelectric signals of the eight extra-meridians and the eight confluent points. The twelve primary points and the eight extra meridians are symmetrical, and only by collecting the primary points of the viscera, the qi and blood states of the meridians of different viscera can be identified. It should be noted that the body condition of the user can be well reflected by detecting the electromyographic signals of 44 acupuncture points, but the device in this embodiment can only detect 44 acupuncture points, and actually, if necessary, several hundred acupuncture points of the human body can be tested simultaneously by the electromyographic signals.
The key point for carrying out correct diagnosis by utilizing the acupoint electromyographic signal device is as follows: can accurately collect the myoelectric signals of the acupuncture points of the human body. However, the body surface electromyographic signals are very weak and are mixed with various external electromagnetic interference, electrocardio interference and power frequency interference, so special analog and digital filtering is required. As shown in fig. 2, in this embodiment, first, the myoelectric signal is amplified to a voltage level of several volts from a millivolt level of the originally collected signal through a two-stage amplification circuit with a total amplification factor of 800 to 1000 times, so as to be used for an a/D converter to perform optimal digital-to-analog conversion. However, since the problem of common mode interference in the collected electromyographic signals is relatively prominent, the first preamplifier is preferably an amplifier AD8220 with relatively large common mode rejection. It should be noted that this is only an exemplary illustration, and those skilled in the art may select other amplifiers with large common mode rejection ratio as the first preamplifier according to the requirement. Secondly, the embodiment designs a two-stage filtering mode of analog filtering and digital filtering comprehensively to eliminate various interferences and extract useful signals to the maximum extent. The pre-stage filtering adopts an analog filtering method, and the analog filtering method mainly comprises high-frequency filtering, low-frequency filtering and 50Hz power frequency notch filtering; the post-stage filtering is a digital filtering method, which is a filtering method based on wavelet transform, and the filtering method can be implemented by setting a special digital filter, but is preferably implemented by a processor of the processing module in this embodiment.
The processor comprises a main control chip, and as shown in fig. 3, the main control chip adopts an STM32 chip. The digital filtering based on wavelet transform is realized by an STM32 chip. The chip with the type is selected because of the strong signal processing capability, and the requirement of further algorithm processing on the collected electromyographic signals can be met; meanwhile, the chip is provided with various types of communication interfaces, and communication connection with the front-end A/D converter and the wireless communication module at the rear end is conveniently realized.
In the present embodiment, it is necessary to collect myoelectric signals of 44 acupuncture points, and since the 44 acupuncture points are divided into 4 groups, the present embodiment adopts 4 identical multi-channel a/D converters MAX1238 to collect signals corresponding to the 4 groups of acupuncture points, respectively. MAX1238 is the A/D converter of maximum 12 channels, fully meet the A/D conversion requirement of 11 acupoint signals in each group.
The multichannel A/D converter MAX1238 is used for communicating and transmitting data with the main control chip STM32 in an I2C protocol mode. However, since all the MAX1238 have the same I2C bus address when shipped from the factory, this will cause that the master control chip cannot distinguish these same MAX1238 chips, and for this reason, this embodiment adopts a method of adding a 4-to-1 multiplexer or an analog switch to the SDA data signal line for I2C communication, thereby solving the problem that the same master control chip STM32 cannot perform I2C communication with multiple same devices MAX 1238. As shown in FIG. 3, the main control chip STM32 is realized by changing A0、A1And a value to enable channel control and selection of a 4-to-1 multiplexer or analog switch. The specific process is as follows: STM32 by sequentially changing A0、A1To gate SDA1, SDA2, SDA3, SDA4 in turn. During gating of a certain SDAn (n is 1, 2, 3, 4), the multichannel A/D converter MAX1238 corresponding to the SDAn gates myoelectric signals of 11 acupuncture points in the group in turn according to the sequence of 1-11, and performs analog-to-digital conversion. All the converted digital signals are transmitted to the main control chip STM32 for digital signal processing.
In the embodiment, the health condition can comprise judgment of health, sub-health, unhealthy and traditional Chinese medicine disease symptoms, or can be used for reminding a user that health hidden dangers exist in the aspects of the body, providing disease early warning and providing corresponding suggestions; the kit can also be used for real-time detection of chronic diseases, has comprehensive functions, and meets the requirements of individuation and customization of users. For example, the average value of the myoelectric signals of the twelve primary points and the eight extra meridians crossing points can be calculated as the physical fitness index. If the physical ability index is within the normal range (30-50), the physical ability index indicates that the healthy testers are healthy, strong in resistance and not easy to suffer from diseases; for the testers with acute or chronic diseases, the disease is better controlled and the resistance is gradually enhanced. When the physical ability index is lower than the normal range, for a healthy tester, the physical ability index has large mental stress, is in a fatigue state for a long time, is insomnia for a long time, and is lack of movement irregularly in life; for a test subject suffering from an acute or chronic disease, the exacerbation of the acute disease is indicated, and the chronic disease is a chronic wasting disease or a hypometabolic disease, such as diabetes. When the physical ability index is higher than the normal range, for a healthy tester, the diet is high in heat, large in exercise amount and vigorous in mental activity; for a test subject with acute or chronic disease, it is indicated that the test subject may have a hypermetabolic disease, such as hyperthyroidism or fever. In addition, the health condition of the testee can be comprehensively judged according to the yin-yang ratio, the upper limb-lower limb ratio, the left-right ratio, the maximum value and the minimum value.
In this embodiment, the wireless communication module may be any conventional wireless communication mode in the field, such as bluetooth, WIFI, GPSR, CDMA, short-transmission, and the like. The electromyographic signal data can also be directly sent to a Baidu cloud, a WeChat platform and the like for storage, and a user can download the data by inputting a user name and a password.
In another embodiment of the present invention, the processing module may further formulate a corresponding healthcare plan according to the detection result of the tester. Such as electrotherapy, local heating or magnetotherapy, etc. to the corresponding acupoints of the testee. The processing module can control the use sequence of electrotherapy, heating and magnetotherapy, specific acupuncture point setting, duration of electrotherapy, heating and magnetotherapy, electromagnetic signal intensity of electrotherapy and pulse type of electrotherapy; heating temperature and heating range of local heating; the magnetic field intensity and the magnetic field action range of the magnetic therapy, etc.
The above embodiments are only used for illustrating the present invention, and the structure, connection mode, manufacturing process, etc. of the components may be changed, and all equivalent changes and modifications performed on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims (10)
1. A health detection device, comprising:
the detection module is used for simultaneously collecting electromyographic signals of acupuncture points at different positions of a human body;
the amplification module comprises a first preamplifier and a second amplifier which are sequentially arranged and is used for amplifying the electromyographic signals;
the filtering module removes background interference signals of the amplified electromyographic signals through analog filtering and digital filtering which are sequentially arranged;
the processing module is used for comparing the processed electromyographic signals with a preset value and judging the health condition of the user according to the comparison result;
the display module is used for displaying the health condition of the user;
the detection module, the amplification module, the processing module and the display module are sequentially in communication connection, the processing module receives the electromyographic signals of the filtering module, compares the electromyographic signals with a preset value, and sends the user health status obtained through comparison to the display module to be displayed.
2. The health detection apparatus as claimed in claim 1, further comprising a database, wherein the preset value is a normal electromyographic signal stored in the database or a derived electromyographic signal measured over time.
3. The health detection device as claimed in claim 1, wherein the display device draws the attention of the user through an alarm or sends the detection result to the mobile terminal of the user through a wireless communication transmitter when the difference between the electromyographic signal in the processing module and a preset value exceeds a preset threshold.
4. A health detection device as claimed in any one of claims 1 to 3 wherein the analogue filtering means comprises high frequency filtering, low frequency filtering and a 50Hz mains frequency notch in sequence.
5. A health-detection device as claimed in any one of claims 1 to 3, wherein said digital filtering means comprises a filtering method based on wavelet transform.
6. The health detection device as claimed in any one of claims 1 to 3, wherein the processing module comprises a main control chip, the digital filtering module and the processing module are disposed on the main control chip, and the electromyographic signals passing through the filtering module are transmitted to the main control chip through at least one multi-channel A/D converter.
7. The health-detecting device as claimed in claim 6, wherein the number of the multi-channel A/D converters is at least two, and a multiplexer or an analog switch is further disposed between the multi-channel A/D converter and the main control chip.
8. The health monitor of claim 1, wherein the processing module determines a treatment strategy according to the health condition of the user obtained by the processing module, and emits a micro-current to the corresponding acupuncture point according to the treatment strategy so as to stimulate the corresponding acupuncture point.
9. The health detection apparatus as claimed in claim 1, wherein the first preamplifier is configured to perform preliminary amplification on the electromyographic signals collected by the electrodes and suppress common mode interference of the electromyographic signals.
10. The health-detecting device as claimed in any one of claims 1 to 3, wherein the electrodes are divided into four groups, wherein the left 10 acupoint electrodes and the right 1 acupoint electrodes are grouped together; the electrodes of 10 acupuncture points on the right hand and the electrodes of 1 acupuncture point on the left foot form a group; the left 1 acupoint electrode of the left hand and the left 10 acupoint electrodes of the right foot form a group; the electrodes of the remaining 1 acupoint on the right hand and the electrodes of the remaining 10 acupoints on the left foot form a group.
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| CN201910962353.2A CN110584665A (en) | 2019-10-11 | 2019-10-11 | Health detection device |
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| CN201910962353.2A CN110584665A (en) | 2019-10-11 | 2019-10-11 | Health detection device |
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| CN113223663A (en) * | 2021-05-27 | 2021-08-06 | 邵强 | Digital physical examination system for value-taking acupuncture points |
| CN117179729A (en) * | 2023-04-26 | 2023-12-08 | 南京真经智能科技有限公司 | Acupoint selection method and system for meridian detection |
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