CN109464145A - A kind of myoelectricity acquisition device - Google Patents
A kind of myoelectricity acquisition device Download PDFInfo
- Publication number
- CN109464145A CN109464145A CN201811594769.5A CN201811594769A CN109464145A CN 109464145 A CN109464145 A CN 109464145A CN 201811594769 A CN201811594769 A CN 201811594769A CN 109464145 A CN109464145 A CN 109464145A
- Authority
- CN
- China
- Prior art keywords
- module
- amplification
- power frequency
- rear class
- myoelectricity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003321 amplification Effects 0.000 claims abstract description 48
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 48
- 238000001914 filtration Methods 0.000 claims abstract description 26
- 238000002567 electromyography Methods 0.000 claims abstract description 25
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 239000000284 extract Substances 0.000 claims abstract description 3
- 230000005611 electricity Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010835 comparative analysis Methods 0.000 abstract 1
- 238000005070 sampling Methods 0.000 description 6
- 210000003205 muscle Anatomy 0.000 description 3
- 230000036982 action potential Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 101000739754 Homo sapiens Semenogelin-1 Proteins 0.000 description 1
- 102100037550 Semenogelin-1 Human genes 0.000 description 1
- 230000037147 athletic performance Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 230000004118 muscle contraction Effects 0.000 description 1
- 230000003183 myoelectrical effect Effects 0.000 description 1
- 230000009125 negative feedback regulation Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000002560 therapeutic procedure Methods 0.000 description 1
Classifications
-
- 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]
-
- 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
- A61B5/25—Bioelectric electrodes therefor
- A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
- A61B5/296—Bioelectric electrodes therefor specially adapted for particular uses for electromyography [EMG]
-
- 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
-
- 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
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physiology (AREA)
- Psychiatry (AREA)
- Artificial Intelligence (AREA)
- Power Engineering (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention relates to field of medical technology, specifically disclose a kind of myoelectricity acquisition device, including microprocessor, rear class amplification module, power frequency filter module, bandpass filtering modules block, pre-amplifying module and right leg drive module;Pre-amplifying module extracts human body electromyography signal, cooperate right leg drive module to eliminate common mode interference simultaneously, preposition amplified electromyography signal is successively transferred to bandpass filtering modules block and power frequency filter module again, electromyography signal is transferred to rear class amplification module after bandpass filtering modules block and the filtering of power frequency filter module, and rear class amplification module is by carrying out the amplification of different multiples to signal and being transferred to microprocessor analysis to determine myoelectricity value.The present invention is respectively acquired myoelectricity by the amplification module in parallel of multistage different amplification and carries out comparative analysis, to complete the acquisition of electromyography signal, it need to be the acquisition being able to achieve to electromyography signal larger range and degree of precision using lower-order digit chip with this, thus greatly reduce cost.
Description
Technical field
The present invention relates to field of medical technology, specifically disclose a kind of myoelectricity acquisition device.
Background technique
Surface electromyogram signal (surface electromyography, SEMG) telecommunications adjoint when being contraction of muscle
Number, it is the important method in body surface Non-invasive detection muscle activity.Surface electromyogram signal is the movement raised by muscle excitation time
The sequence of action potential one by one (Motor Unit Action Potential Trains, MUAPT) that unit generates is in skin
Surface is formed by stacking, and is a kind of small-signal of non-stationary.By extracting and studying surface electromyogram signal, people can be effectively identified
Body athletic performance diagnoses disorder of muscle and instructs rehabilitation medical etc., is widely used in medical diagnosis on disease, medical science of recovery therapy, movement are educated
Equal fields.
Surface myoelectric (EMG) signal is that (frequency range is 20~500 Hz, and main for low frequency under strong noise background
Want energy to concentrate within the scope of 50~100 Hz), non-linear, the high internal resistance signal of faint (0.1 mV of μ V~20), be real
The acquisition of existing electromyography signal, needs high-precision, and the fluctuation of 0.1uV can be detected, while guaranteeing 0 to 20mV range, mesh again
Preceding routine myoelectricity acquisition device has been all made of high-precision AD acquisition device, and such as up to 24 AD conversion sampling A/D chips are this
Mode is at high cost;According to the AD conversion chip of lower-order digit, then it can not guarantee precision and a wide range of sampling simultaneously.
Therefore, it is necessary to a kind of devices that can solve the above problem.
Summary of the invention
In order to overcome shortcoming and defect existing in the prior art, the purpose of the present invention is to provide a kind of acquisitions of myoelectricity to fill
It sets.
To achieve the above object, the present invention uses following scheme.
A kind of myoelectricity acquisition device, including microprocessor, rear class amplification module, power frequency filter module, bandpass filtering modules block,
Pre-amplifying module and right leg drive module;The pre-amplifying module respectively with external acquisition electrode, right leg drive module
It is electrically connected with bandpass filtering modules block;The right leg drive module and external reference electrode are electrically connected;The bandpass filtering
Module is also electrically connected with power frequency filter module;The power frequency filter module is also electrically connected with rear class amplification module;After described
Grade amplification module is also electrically connected with microprocessor;The rear class amplification module includes at least two-stage amplification module, and at different levels is put
Big module is electrically in parallel;The pre-amplifying module extracts human body electromyography signal, while right leg drive module being cooperated to extract human body
Common mode interference signal in electromyography signal amplifies the preposition amplification input terminal common mode interference of output offset with negative-feedback, then by myoelectricity
Signal is successively transferred to bandpass filtering modules block and power frequency filter module, and electromyography signal is through bandpass filtering modules block and power frequency filter module
Rear class amplification module is transferred to after filtering, rear class amplification module is by carrying out the amplification of different multiples to signal and being transferred to micro- place
Device analysis is managed to determine myoelectricity value.
Preferably, the pre-amplifying module uses the operational amplifier of model AD620.
Preferably, the right leg drive module is driven using second level amplifier.
Preferably, the bandpass filtering modules block carries out 20Hz high-pass filtering using RC circuit and uses Sallen Key
Active filter forms 500Hz low pass Butterworth filter.
Preferably, the power frequency filter module uses double-T shaped bandstop filter, and is equipped with voltage-controlled feed circuit.
Beneficial effects of the present invention: providing a kind of myoelectricity acquisition device, passes through the amplification module of multistage different amplification
Myoelectricity is acquired respectively, analysis is compared to collected myoelectricity value, and determines the most accurately primary magnification module
Myoelectricity value need to be the acquisition being able to achieve to electromyography signal larger range and degree of precision using the chip of lower-order digit with this, from
And cost is greatly reduced, it is easy to produce and universal.
Detailed description of the invention
Fig. 1 is the structural block diagram of the embodiment of the present invention.
Fig. 2 is the circuit diagram of the embodiment of the present invention.
Specific embodiment
For the ease of the understanding of those skilled in the art, the present invention is made further below with reference to examples and drawings
Bright, the content that embodiment refers to not is limitation of the invention.
A kind of myoelectricity acquisition device, as depicted in figs. 1 and 2, including microprocessor, rear class amplification module, power frequency filter mould
Block, bandpass filtering modules block, pre-amplifying module and right leg drive module;The pre-amplifying module is electric with external acquisition respectively
Pole, right leg drive module and bandpass filtering modules block are electrically connected;The right leg drive module electrically connects with external reference electrode
It connects;The bandpass filtering modules block is also electrically connected with power frequency filter module;The power frequency filter module also with rear class amplification module
It is electrically connected;The rear class amplification module is also electrically connected with microprocessor;The rear class amplification module includes that at least two-stage is put
Big module, and amplification module at different levels is electrically in parallel.
When work, pre-amplifying module obtains human body electromyography signal by acquisition electrode, and mentions from human body electromyography signal
Take useful differential signal and amplification, and pre-amplifying module to high-frequency signal and direct current signal made preliminary filtering and every
From processing, so that circuit has high input impedance and high cmrr.Meanwhile pre-amplifying module cooperates right leg drive module
The reference signal of human body is obtained, to carry out negative-feedback regu- lation so that the common mode interference signal in electromyography signal is decayed.Then,
For electromyography signal that pre-amplifying module exports that treated again to bandpass filtering modules block, bandpass filtering modules block will be other than myoelectricity range
Target signal filter, then transmits electromyography signal to power frequency filter module again, power frequency filter module filters out be transferred to after Hz noise after
Grade amplification module.Rear class amplification module includes that at least two-stage amplification module, amplification modules at different levels respectively carry out not electromyography signal
With microprocessor is transferred to after multiple amplification, microprocessor carries out AD sampling, and root to amplified electromyography signals at different levels respectively
The data value that acquisition electromyography signal is completed with this is analyzed and processed according to amplification range section.
Such as when three-level amplification section is 50 times of amplification sections respectively for 0-20 μ V, precision is 0.01 μ V;10 times of amplification regions
Between be 20-200 μ V, precision be 0.1 μ V;1 times of amplification section is 200-2000 μ V, and for precision up to 1 μ V, microprocessor is right respectively
The amplified electromyography signals of amplification module at different levels carry out AD sampling, are compared after sampling to three groups of virtual values, first determine whether 100
Whether value of magnification again is more than 20 μ V, if being less than 20 μ V, using the value as current myoelectricity value;If more than 20 μ V,
Whether the value of magnification for judging 10 times, if being less than 200 μ V, uses the value as current myoelectricity value, if being more than more than 200 μ V
200 μ V then use 1 times of value of magnification as current myoelectricity value.While maximum reference value is provided in each amplification factor, one
Denier exceeds this value, then carries out the comparison of the data of next amplification factor, until confirmation is in correct range.Such as 50 times of amplifications
For 0-20 μ V corresponding A D value 0 ~ 2046, maximum reference value 2000 is set, the ratio of 10 times of amplification datas is carried out if being more than this value
Compared with then no longer judging after affirming score.
With this present invention only need to using lower-order digit A/D chip it is ensured that sampling myoelectricity signals precision, while realizing big
Range sample, and it is relatively common by the way of high-precision AD acquisition device, cost can be substantially reduced, it is easy to produce universal.
In the present embodiment, the pre-amplifying module uses the operational amplifier of model AD620, can to high-frequency signal and
Direct current signal is filtered, so that sample circuit has the characteristics that high input impedance and high cmrr.
In the present embodiment, the right leg drive module is driven using second level amplifier, can preferably reduce common mode interference
Signal.
In the present embodiment, the bandpass filtering modules block carries out 20Hz high-pass filtering using RC circuit and uses Sallen Key
Active filter forms 500Hz low pass Butterworth filter, thus realize that the frequency curve in passband is flat to greatest extent,
Be conducive to the target signal filter other than myoelectricity range
In the present embodiment, the power frequency filter module uses double-T shaped bandstop filter, and is equipped with voltage-controlled feed circuit, to make
Obtaining power frequency filter module has good selecting frequency characteristic and higher Q value, to preferably filter out Hz noise.
The above is only a preferred embodiment of the present invention, for those of ordinary skill in the art, according to the present invention
Thought, there will be changes in the specific implementation manner and application range, and the content of the present specification should not be construed as to the present invention
Limitation.
Claims (5)
1. a kind of myoelectricity acquisition device, which is characterized in that including microprocessor, rear class amplification module, power frequency filter module, band logical
Filter module, pre-amplifying module and right leg drive module;The pre-amplifying module respectively with external acquisition electrode, right leg
Drive module and bandpass filtering modules block are electrically connected;The right leg drive module and external reference electrode are electrically connected;It is described
Bandpass filtering modules block is also electrically connected with power frequency filter module;The power frequency filter module also electrically connects with rear class amplification module
It connects;The rear class amplification module is also electrically connected with microprocessor;The rear class amplification module includes at least two-stage amplification module,
And amplification modules at different levels are electrically in parallel;The pre-amplifying module extracts human body electromyography signal, while right leg drive module is extracted
Common mode interference signal in human body electromyography signal amplifies the preposition amplification input terminal common mode interference of output offset with negative-feedback, then will
Electromyography signal is successively transferred to bandpass filtering modules block and power frequency filter module, and electromyography signal is filtered through bandpass filtering modules block and power frequency
Rear class amplification module is transferred to after module filtered, rear class amplification module is by carrying out the amplification of different multiples to signal and being transferred to
Microprocessor analysis is to determine myoelectricity value.
2. a kind of myoelectricity acquisition device according to claim 1, which is characterized in that the pre-amplifying module uses model
For the operational amplifier of AD620.
3. a kind of myoelectricity acquisition device according to claim 1, which is characterized in that the right leg drive module uses second level
Amplifier is driven.
4. a kind of myoelectricity acquisition device according to claim 1, which is characterized in that the bandpass filtering modules block is using RC electricity
Road carries out 20Hz high-pass filtering and forms 500Hz low pass Butterworth filter using Sallen Key active filter.
5. a kind of myoelectricity acquisition device according to claim 1, which is characterized in that the power frequency filter module is using double T
Type bandstop filter, and it is equipped with voltage-controlled feed circuit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811594769.5A CN109464145A (en) | 2018-12-25 | 2018-12-25 | A kind of myoelectricity acquisition device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811594769.5A CN109464145A (en) | 2018-12-25 | 2018-12-25 | A kind of myoelectricity acquisition device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109464145A true CN109464145A (en) | 2019-03-15 |
Family
ID=65676505
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811594769.5A Pending CN109464145A (en) | 2018-12-25 | 2018-12-25 | A kind of myoelectricity acquisition device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109464145A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117770841A (en) * | 2024-01-08 | 2024-03-29 | 广东海洋大学 | Myoelectric signal acquisition circuit and myoelectric sensor |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104799854A (en) * | 2015-04-29 | 2015-07-29 | 深圳大学 | Surface myoelectricity acquisition device and myoelectricity signal processing method thereof |
CN105105745A (en) * | 2015-09-23 | 2015-12-02 | 京东方科技集团股份有限公司 | Method and device for obtaining electrocardiograph data and electrocardiograph detection system |
US20160144172A1 (en) * | 2011-08-26 | 2016-05-26 | National Yunlin University Of Science And Technolo | Feedback-Control Wearable Upper-Limb Electrical Stimulation Device |
US20170095200A1 (en) * | 2014-12-09 | 2017-04-06 | Beijing Galaxy Raintai Technology Co., Ltd. | Training assistance apparatus and training assistance method |
CN207545088U (en) * | 2017-03-31 | 2018-06-29 | 沈阳大学 | A kind of surface myoelectric harvester based on surface skin electrodes |
CN108784694A (en) * | 2018-04-23 | 2018-11-13 | 京东方科技集团股份有限公司 | A kind of signal acquisition circuit, signal acquisition method and wearable device |
CN209203258U (en) * | 2018-12-25 | 2019-08-06 | 东莞晋杨电子有限公司 | A kind of myoelectricity acquisition device |
-
2018
- 2018-12-25 CN CN201811594769.5A patent/CN109464145A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160144172A1 (en) * | 2011-08-26 | 2016-05-26 | National Yunlin University Of Science And Technolo | Feedback-Control Wearable Upper-Limb Electrical Stimulation Device |
US20170095200A1 (en) * | 2014-12-09 | 2017-04-06 | Beijing Galaxy Raintai Technology Co., Ltd. | Training assistance apparatus and training assistance method |
CN104799854A (en) * | 2015-04-29 | 2015-07-29 | 深圳大学 | Surface myoelectricity acquisition device and myoelectricity signal processing method thereof |
CN105105745A (en) * | 2015-09-23 | 2015-12-02 | 京东方科技集团股份有限公司 | Method and device for obtaining electrocardiograph data and electrocardiograph detection system |
CN207545088U (en) * | 2017-03-31 | 2018-06-29 | 沈阳大学 | A kind of surface myoelectric harvester based on surface skin electrodes |
CN108784694A (en) * | 2018-04-23 | 2018-11-13 | 京东方科技集团股份有限公司 | A kind of signal acquisition circuit, signal acquisition method and wearable device |
CN209203258U (en) * | 2018-12-25 | 2019-08-06 | 东莞晋杨电子有限公司 | A kind of myoelectricity acquisition device |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117770841A (en) * | 2024-01-08 | 2024-03-29 | 广东海洋大学 | Myoelectric signal acquisition circuit and myoelectric sensor |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104799854B (en) | A kind of surface myoelectric harvester and its electromyographic signal processing method | |
CN108742611B (en) | Autonomous myoelectricity extraction method under random dynamic parameter electrical stimulation condition | |
CN101822540A (en) | Myoelectricity amplifier and method for sampling myoelectricity signals | |
CN204654934U (en) | A kind of healing hand function assessment and training system | |
CN106308792A (en) | Portable collection device for high precision myoelectric signal | |
CN104545908A (en) | Hand function rehabilitation evaluation and training system | |
CN209203258U (en) | A kind of myoelectricity acquisition device | |
CN109464145A (en) | A kind of myoelectricity acquisition device | |
CN109528191A (en) | A kind of encephalic Electroencephalo signal detection and amplification system and method | |
CN205083477U (en) | Real time control device based on body surface flesh | |
CN101138495B (en) | Electrostimulation noise elimination instrument | |
CN103505200A (en) | Integrated circuit for synchronously collecting ECG signals and EEG signals | |
CN103977503B (en) | A kind of PACE ripple checkout gear of low cost and method | |
CN106102575A (en) | A kind of myoelectric signal collection apparatus | |
CN205083472U (en) | Electrocardio signal acquisition and processing system | |
CN200970233Y (en) | Filter for improving intracardiac electric physiological wave form while intracardiac electrode output stimulating | |
CN114376585A (en) | Implanted deep electroencephalogram acquisition device | |
CN206261586U (en) | Electromyographic signal collection circuit and Wearable device | |
Sun et al. | A novel design of eeg signal amplifier | |
CN105496403A (en) | USB (universal serial bus) brain electric signal acquisition system on basis of DSP (digital signal processing) framework | |
CN107157478A (en) | A kind of multichannel Cortical ECoG acquisition system based on capacitive electrode | |
Mi et al. | Design of high-accuracy eight-channel surface electromyography acquisition system and its application | |
CN116035599A (en) | Surface electromyographic signal acquisition system and method | |
CN211609781U (en) | Device for collecting electroencephalogram signals | |
CN211089601U (en) | Electroencephalogram signal sampling device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |