CN105597298A - Fitness effect evaluation system based on electromyographic signal and body movement detection - Google Patents

Fitness effect evaluation system based on electromyographic signal and body movement detection Download PDF

Info

Publication number
CN105597298A
CN105597298A CN201610206465.1A CN201610206465A CN105597298A CN 105597298 A CN105597298 A CN 105597298A CN 201610206465 A CN201610206465 A CN 201610206465A CN 105597298 A CN105597298 A CN 105597298A
Authority
CN
China
Prior art keywords
signal
module
electromyographic
evaluation system
building effect
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
Application number
CN201610206465.1A
Other languages
Chinese (zh)
Inventor
王缘
王启松
刘丹
刘昕
孙金玮
郭明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN201610206465.1A priority Critical patent/CN105597298A/en
Publication of CN105597298A publication Critical patent/CN105597298A/en
Pending legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • 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
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • 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
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/30—Speed
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/40—Acceleration
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
    • A63B2220/836—Sensors arranged on the body of the user
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/50—Wireless data transmission, e.g. by radio transmitters or telemetry
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00—Measuring physiological parameters of the user
    • A63B2230/08—Measuring physiological parameters of the user other bio-electrical signals

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Signal Processing (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Geometry (AREA)
  • Power Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The invention provides a fitness effect evaluation system based on an electromyographic signal and body movement detection and belongs to the technical field of fitness evaluation, aiming at solving the problem that a result is not accurate when the fitness effect is evaluated according to subjective intention. The fitness effect evaluation system comprises a signal acquisition part and a cell phone APP part, wherein the signal acquisition part comprises an electrode, an electromyographic sensor, a controller, an acquired signal wireless transmission module and an accelerated speed sensor; the cell phone APP part comprises a processing signal wireless transmission module, a processor and a user module; a positive pole end and a negative pole end of the electrode are conducted with a to-be-detected target; a right leg driving electrode of the electrode is arranged at a tested part of the to-be-detected target. By detecting and analyzing an electromyographic signal, a body movement speed and an accelerated speed, the fitness effect is evaluated; the description of the fitness effect is relative to muscle fatigue degree and exercise quantity; information feedback and data management are carried out through a cell phone APP. The fitness effect evaluation system based on the electromyographic signal and the body movement detection is used for evaluating the fitness effect.

Description

Based on the body-building effect evaluation system of electromyographic signal and limb action detection
Technical field
The present invention relates to the body-building effect evaluation system based on electromyographic signal and limb action detection, belong to body-building assessment technique neckTerritory.
Background technology
In physical training miscellaneous, the overwhelming majority is relevant with muscular training. Medical evidence, muscular fatigue when exerciseDegree and body-building effect are closely related, and the too low meeting of muscular fatigue degree causes body-building effect not good, the too high muscle damage that can causeWound, therefore carries out monitoring and evaluation to exercise intensity and has important practical significance. In the time of body-building, people are tired for muscleThe judgement of labor degree comes from the subjective feeling of oneself conventionally, and for layman, such judgement is often not accurate enough,Therefore cause the result of muscular fatigue damage to happen occasionally, run counter to body builder's original intention.
In order to ensure reaching good body-building effect, and avoid the generation that there is a great strain on the muscles simultaneously, muscular training person is carried outReal-time body-building effect, i.e. muscular fatigue degree and momental evaluation, is highly effective measure. Imitate for body-building at presentThe evaluation of fruit, many methods based on subjective, as exercise time or exercise number of times are added up, then according to the subjectivity of selfWish is carried out body-building effect evaluation, and such method is obviously not accurate enough.
Summary of the invention
To the present invention seeks to carry out the inaccurate problem of body-building effect evaluation result in order solving according to subjective desire, to provide onePlant the body-building effect evaluation system based on electromyographic signal and limb action detection.
The body-building effect evaluation system detecting based on electromyographic signal and limb action of the present invention, it comprise signal acquisition part andMobile phone A PP application section,
Signal acquisition part comprises electrode, myoelectric sensor, controller, collection signal wireless transport module and acceleration transducer;
Mobile phone A PP application section comprises processing signals wireless transport module, processor and line module;
The positive terminal of electrode and negative pole end and measurand are led, and the right leg drive electrode of electrode is positioned over the tested of measurandPosition;
Myoelectric sensor carries out difference collection by the electromyographic signal of electrode pair measurand, and receives the myoelectricity that controller transmitsGather control signal;
Acceleration transducer is for detection of the limb motion state of measurand, and receives the acceleration collection control that controller transmitsSignal processed;
Controller is used for electromyographic signal and limb motion status signal to pack, and receives collection signal wireless transport moduleThe myoelectricity transmitting gathers control signal and acceleration gathers control signal;
Collection signal wireless transport module and processing signals wireless transport module are realized signal acquisition part and mobile phone A PP application sectionSignal mutual;
Processor, for receiving electromyographic signal and the limb motion status signal after packing, adopts small wave converting method to realize signalNoise reduction process, and carry out feature extraction, then carry out data analysis by algorithm of support vector machine, obtain the strong of measurandBody effect data; And the myoelectricity that receives line module transmission gathers control signal and acceleration gathers control signal;
Line module is used for showing the body-building effect data of measurand, and sends myoelectricity collection control signal and acceleration collectionControl signal.
Described myoelectric sensor is made up of filter circuit, buffer circuit, amplifying circuit and AD conversion chip, electrode conductionElectromyographic signal passes to AD conversion chip through filter circuit, buffer circuit and amplifying circuit successively.
Described acceleration transducer is 16 6 axle acceleration sensors.
Collection signal wireless transport module and processing signals wireless transport module are Wi-Fi module or are bluetooth module.
It also comprises power module, and power module is used to controller and the power supply of collection signal wireless transport module.
The SVMs training sample set preparation method of described algorithm of support vector machine is: gather many group volunteers in differenceData under body-building intensity, evaluate its body-building effect data, use body-building effect data to form SVMs training sample setClose, and obtain benchmark grader.
Advantage of the present invention: the present invention relates to bioelectrical signals and detect and limb motion attitude detection, by muscle electricityDetection and the analysis of signal and limb motion speed, acceleration, evaluate body-building effect, described body-building effect and muscular fatigueDegree and amount of exercise are relevant, and it carries out information feedback and data management by mobile phone A PP.
The generation of technical solution of the present invention is according to being: muscle, in motion process, can produce the stronger signal of telecommunication in the time shrinking,Be electromyographic signal (electromyography, EMG), the feature of this signal can be along with the variation of muscle movement speed and intensityAnd time become. Along with the increase of muscular fatigue degree, its ability that produces the signal of telecommunication can weaken, and no matter is the variation speed of the signal of telecommunicationDegree or signal amplitude, all can decay accordingly, therefore utilizes the muscle signal of telecommunication to carry out the monitoring of body-building effect, is a kind ofObjective appraisal method; Wavelet analysis is widely used in bio signal and detects, and its method is easy, and the degree of accuracy is high, can be to making an uproarSound is processed preferably, is convenient to extract characteristic value, is applicable to analysis and processing to the muscle signal of telecommunication. Meanwhile, for limbThe parsing of body athletic posture and action, can obtain body builder's motion state, can be used as the supplementary means of evaluating body-building effect;For the parsing of attitude, need movement velocity and the acceleration information of limbs, speed can be calculated and be estimated by theory, because ofAs long as this detect six-axle acceleration of limbs, i.e. X, Y, Z axis acceleration and angular acceleration, can analyze body builder's limbsMotion state.
Bluetooth technology and Wi-Fi technology are widely used in modern communication equipment, and its technology is comparatively ripe, and stability is higher,Compatible bluetooth of the present invention and Wi-Fi communication function, can be configured and data management system by mobile phone A PP.
Body-building effect is analyzed and evaluated to system of the present invention, by the detection of the muscle signal of telecommunication and limb motion attitude, in real time, andBy corresponding mobile phone A PP software, give body builder and carry out real-time information feedback, to help body builder to judge current muscleDegree of fatigue, thus reach optimum body-building effect, and can avoid muscle damage and hypomotility.
Brief description of the drawings
Fig. 1 is the theory diagram of the body-building effect evaluation system based on electromyographic signal and limb action detection of the present invention;
Fig. 2 is the theory diagram of signal acquisition part;
Fig. 3 is the structured flowchart of power module;
Fig. 4 is the flow chart of evaluation system of the present invention;
Fig. 5 is use location of the present invention schematic diagram; In figure, A represents that system is attached to arm, and B represents that system is attached toLarge and small leg, C represents that system is attached to back.
Detailed description of the invention
Detailed description of the invention one: below in conjunction with Fig. 1 to Fig. 5, present embodiment is described, believes based on myoelectricity described in present embodimentNumber and limb action detect body-building effect evaluation system, it comprises signal acquisition part and mobile phone A PP application section,
Signal acquisition part comprises electrode 1-1, myoelectric sensor 1-2, controller 1-3, collection signal wireless transport module 1-4With acceleration transducer 1-5;
Mobile phone A PP application section comprises processing signals wireless transport module 2-1, processor 2-2 and line module 2-3;
The positive terminal of electrode 1-1 and negative pole end and measurand are led, and it is tested right that the right leg drive electrode of electrode 1-1 is positioned overThe tested position of elephant;
Myoelectric sensor 1-2 carries out difference collection by electrode 1-1 to the electromyographic signal of measurand, and receives controller 1-3The myoelectricity transmitting gathers control signal;
Acceleration transducer 1-5 is for detection of the limb motion state of measurand, and receives the acceleration that controller 1-3 transmitsDegree gathers control signal;
Controller 1-3 is used for electromyographic signal and limb motion status signal to pack, and receives collection signal wireless transmissionThe myoelectricity that module 1-4 transmits gathers control signal and acceleration gathers control signal;
Collection signal wireless transport module 1-4 and processing signals wireless transport module 2-1 realize signal acquisition part and mobile phone A PPThe signal of application section is mutual;
Processor 2-2, for receiving electromyographic signal and the limb motion status signal after packing, adopts small wave converting method to realizeThe noise reduction process of signal, and carry out feature extraction, then carry out data analysis by algorithm of support vector machine, obtain measurandBody-building effect data; And the myoelectricity that receives line module 2-3 transmission gathers control signal and acceleration gathers control signal;
Line module 2-3 is used for showing the body-building effect data of measurand, and sends myoelectricity collection control signal and accelerationGather control signal.
Described myoelectric sensor 1-2 is made up of filter circuit, buffer circuit, amplifying circuit and AD conversion chip, electrode 1-1The electromyographic signal of conduction passes to AD conversion chip through filter circuit, buffer circuit and amplifying circuit successively.
Described acceleration transducer 1-5 is 16 6 axle acceleration sensors.
Collection signal wireless transport module 1-4 and processing signals wireless transport module 2-1 are Wi-Fi module or are indigo plantTooth module.
It also comprises power module, and power module is used to controller 1-3 and collection signal wireless transport module 1-4 power supply.
The SVMs training sample set preparation method of described algorithm of support vector machine is: gather many group volunteers in differenceData under body-building intensity, evaluate its body-building effect data, use body-building effect data to form SVMs training sample setClose, and obtain benchmark grader.
Described AD conversion chip adopts 24 double channel A/D converters, and it carries out difference collection to the muscle signal of telecommunication, simultaneouslyAdopt right leg actuation techniques to reduce human body common mode interference signal, to ensure the accuracy of muscle electrical signal detection.
Acceleration transducer 1-5 is used for gathering the X of measurand position, Y, and Z axis acceleration and angular acceleration, by addingSpeed detects data, can parse the athletic posture of limbs.
Signal acquisition part and mobile phone A PP application section adopt Wi-Fi or Bluetooth technology to carry out communication.
System of the present invention, based on Low-power Technology, is used Li-ion powered battery, ensures that the portability of collecting device is with betterFlying power.
Electrode 1-1 adopts SMD Ag-AgCl electrode, itself and skin is directly led, to obtain the muscle signal of telecommunication; AdoptWearable mode, as the mode such as wrist strap, stickup is fixed on testing equipment on experimenter's limbs, to obtain the tested portion of experimenterThe movable information of position is realized the portability of equipment simultaneously.
Processor 2-2 adopts small wave converting method to realize the noise reduction process of signal, and experimenter's the muscle signal of telecommunication and limbs are addedSpeed is carried out feature extraction, and carries out data analysis by algorithm of support vector machine, to evaluate in real time body builder's body-building effectReally.
Below in conjunction with accompanying drawing, the present invention is described in detail.
Shown in Fig. 1 and Fig. 2, signal acquisition part be integrated with controller, Wi-Fi module, bluetooth module, myoelectric sensor,Acceleration transducer, electrode and in order to make the normal work of above-mentioned module essential peripheral circuit, comprise power-supplying circuit,Signal indicating circuit, ON-OFF control circuit and holding circuit, described power-supplying circuit is containing battery, and signal acquisition part canRealize the detection of the muscle signal of telecommunication and six-axle acceleration signal, and mode by Wi-Fi or bluetooth by data upload to mobile phoneAPP application section.
Mobile phone A PP software and user carry out information interaction, and user sends instruction by mobile phone A PP to hardware device, for exampleStart, finish and other necessary parameter information; Mobile phone A PP is responsible for processing and the analysis task of data simultaneously, comprises and making an uproarThe feature extraction of the separation of sound and removal, the muscle signal of telecommunication and acceleration signal, the parsing of athletic posture, the meter of body-building effectThe Storage & Display of calculation and data.
The concrete structure of checkout equipment as shown in Figure 2, wherein:
The function of controller is receive the control command of mobile phone A PP and control other hardware effort of coordinating checkout equipment, wholeIn individual equipment, controller is coordinated the exchange of data simultaneously, and the data of myoelectric sensor and acceleration transducer are first imported intoIn controller, after being packed by controller, be sent to mobile phone A PP via Wi-Fi or bluetooth module again.
Acceleration transducer is measured X in vertical coordinate system, Y, tri-axial acceleration of Z and around X, Y, tri-coordinates of ZThe angular acceleration of axle rotation, wherein the precision of each parameter is 6 of binary ones, acceleration transducer adopts I2C dataCommunication modes is to controller transmission sampled data and receive the control command of controller.
Myoelectric sensor adopts 24 double channel A/D converters, and input mode adopts difference input, the i.e. positive and negative terminal of electrodeAll lead with measurand, the mode of leading is Ag-AgCl electrode; To disturb and increase the stability of a system in order to reduce, in simulationGather front end and be provided with basic filtering, buffering and amplifying circuit, adopt right leg actuation techniques with timer, drive by right legElectrode is revised interfering signal, by negative-feedback significantly to reduce experimenter's electromagnetic interference and common mode disturbances, instituteStating right leg drive electrode is because conventional feedback position is positioned at right leg, is therefore called right leg and drives. Right leg of the present invention drivesElectrode is directly positioned over tested position to realize portability; Myoelectric sensor adopts SPI data communication method to transmit to controllerSampled data also receives the control command of controller, in order to ensure the accuracy of A/D converter, adopts positive and negative 2.5V power supplyPower supply.
In order to ensure the normal use of systemic-function, power module as shown in Figure 3:
Adopt Li-ion powered battery, battery operated voltage is 2.7V to 4.3V, also can adopt 5V external power supply to supply simultaneouslyElectricity, wherein external power supply uses 1A fuse, 6V Transient Suppression Diode to guarantee the security of circuit: when without external electricity, system is used powered battery when in the source, and management of charging and discharging module output voltage equates with battery; In the time having external power supply, systemUse external power supply power supply, management of charging and discharging module output voltage equates with external power supply, now external power supply charges to batteryUntil battery is full of, charging current is 500mA; Meanwhile, management of charging and discharging module output status signal, comprises cell voltageLow, charge, have or not external power supply and fault-signal.
After power management module, system adopts 3.3V voltage-stablizer to obtain 3.3V power supply through DC-DC conversion, adopts 2.5VVoltage-stablizer to 2.5V, adopts voltage inverter from obtain-3.3V of 3.3V power supply power supply, employing-2.5V the voltage stabilizing of 3.3V power supplyThe voltage stabilizing of voltage-stablizer general-3.3V power supply is to-2.5V, and whole voltage stabilizing flow process as shown in Figure 3.
The main hardware of signal acquisition part is used voltage as follows:
1. controller: 3.3V;
2. bluetooth module: 3.3V;
3.Wi-Fi module: 3.3V;
4. acceleration transducer: 3.3V;
5. myoelectric sensor: 2.5V and-2.5V.
Software flow pattern of the present invention is as shown in Figure 4:
After signal acquisition part start, attempt being connected with mobile phone A PP application section this process difference as required, connection side alwaysFormula can be set to bluetooth or Wi-Fi, just waits for the instruction of APP after successful connection, and APP controls its work, loses once connectLose, checkout equipment quits work, and again attempts connecting, and when checkout equipment work, the electromyographic signal collecting and acceleration is believedAfter number packing by controller, be sent to mobile phone A PP.
Mobile phone A PP application section attempts after starting being connected with signal acquisition part always, this process difference as required, connection sideFormula can be set to bluetooth or Wi-Fi, and on mobile phone screen, shows connection status, waits for user's instruction after successful connection,When user sends after " beginning " instruction, by wireless mode start detection equipment; When user sends after " demonstration " order,Screen is activated, and shows current body-building effect; When user sends after " exiting " instruction, detect and finish.
When normal work, electromyographic signal and acceleration signal that checkout equipment constantly arrives by the real-time uploading detection of wireless mode,Mobile phone A PP takes out data from reception buffer zone, after filtering, after the process such as feature extraction, analyzes current strong of experimenterBody effect.
Particularly, for the motion state of limbs, can be obtained by the movement velocity of limbs and acceleration analysis, theory is come upSee, speed can be obtained time integral by acceleration, therefore detects the six-axle acceleration of limbs, i.e. X, Y, Z axis acceleration andAngular acceleration, can analyze body builder's limb motion state; Muscle, in motion process, can produce stronger in the time shrinkingThe signal of telecommunication, the feature of this signal can change along with the variation of muscle movement speed and intensity, its feature comprises in time domainAbsolute amplitude, relative amplitude, variation tendency and sigtnal interval, wherein amplitude is the amplitude with respect to average relatively, and variation becomesGesture obtains by difference value, comprises frequency spectrum and power spectrum at frequency domain; Generally speaking, along with the increase of muscular fatigue degree,Its ability that produces the signal of telecommunication can weaken, and no matter is pace of change or the signal amplitude of the signal of telecommunication, all can reduce accordingly,In above-mentioned characteristic value, signal amplitude can reflect the intensity of muscle activity, and pulse interval can reflect muscular movementFrequency, simultaneously in many characteristic values of frequency domain, also can reflect experimenter's exercise state accordingly; In view of electromyographic signalComplexity, the present invention adopts characteristic value to the muscle signal of telecommunication of support vector machine method in pattern recognition theory and accelerationCharacteristic value is carried out convergence analysis to evaluate body-building effect.
For extracting above-mentioned characteristic value, first need signal to carry out noise reduction process, to guarantee reliability and the accuracy of data,The present invention first the baseline drift in the muscle signal of telecommunication, power frequency is disturbed and High-frequency Interference is processed, and then passes through small echoThe method of bag is isolated the useful signal in the electromyographic signal recording, and carries out attitude solution for acceleration signal through smoothing processingCalculate.
For baseline drift, adopt the method for medium filtering to process, as shown in Equation 1, use medium filtering to numeralBurst xjWhile carrying out filtering processing, first should choose the filter window length L needing, the present invention gets 201, systemFiltered output sequence is:
yj＝med{xj-m,xj-m+1,…,xj,xj+m-1,xj+m}(1)
Med in formula (x)---the element value of tactic neutral element by size in sequence x; L=2m+1, wherein mFor positive integer.
For High-frequency Interference, because of its frequency spectrum not with effective electromyographic signal phase aliasing, use chebyshev low-pass filter carry outProcess, cut-off frequency is 60Hz; Disturbing for power frequency, is 50Hz alternating current in China, and design 50Hz trapper carries outProcess.
After above-mentioned processing, the present invention extracts previously described all characteristic values, the i.e. absolute amplitude of electromyographic signal, phaseTo amplitude, difference value, pulse interval, frequency spectrum and power spectrum and limb motion state parameter, gather in this way manyThe data of group volunteer under different body-building intensity, its body-building effect is evaluated by professional person, then uses these data to form and props upHold the set of vector machine training sample, show that a suitable grader is for evaluating body-building effect; For fear of individual difference,First the present invention can calibrate experimenter in use, tests the significant condition of tested position in the time of body-building not. For exampleFirst to 100 ages, sex all discrepant volunteer under different exercise intensities, carry out data acquisition, as basisSample Storehouse, adopts the method for SVMs to train to basic Sample Storehouse, draws a fundamental classifier, and is stored inIn mobile phone A PP; User, in the time using native system, first carries out zero reference correction in the time not taking exercise completely, after this utilizesThis fundamental classifier is carried out training effect evaluation to it.
System of the present invention has the advantages that volume is little, low in energy consumption, flying power is strong, should be attached to the body that needs test when useNear body region, as shown in Figure 5, for example, while needing to carry out the test of arm body-building effect, can be by this equipment by wrist strap or stickyThe method of pasting is fixed on arm or near in the clothing of arm. This installs each passage and has three electrodes, should be by when useThree electrodes all directly stick on the skin at test position, and the distribution of three electrodes is equilateral triangle, recommend spacing3cm。
The present invention obtains body builder's electromyographic signal and limb motion attitude by wearable device, and will by wireless modeData upload, to mobile phone A PP, is carried out corresponding processing and analysis via cell phone software, thereby judges being objectively good for of body builderBody effect, and then for body builder provides reliable information reference, help body builder to judge current muscular fatigue degree and amount of exercise.

Claims (6)

1. the body-building effect evaluation system based on electromyographic signal and limb action detection, is characterized in that, it comprises signalCollection portion and mobile phone A PP application section,
Signal acquisition part comprises electrode (1-1), myoelectric sensor (1-2), controller (1-3), collection signal wireless transmission mouldPiece (1-4) and acceleration transducer (1-5);
Mobile phone A PP application section comprises processing signals wireless transport module (2-1), processor (2-2) and line module (2-3);
The positive terminal of electrode (1-1) leads with negative pole end and measurand, the right leg drive electrode of electrode (1-1) be positioned over bySurvey the tested position of object;
Myoelectric sensor (1-2) carries out difference collection by electrode (1-1) to the electromyographic signal of measurand, and receives controlThe myoelectricity that device (1-3) transmits gathers control signal;
Acceleration transducer (1-5) is for detection of the limb motion state of measurand, and receives that controller (1-3) transmitsAcceleration gathers control signal;
Controller (1-3) is for electromyographic signal and limb motion status signal are packed, and receives the wireless biography of collection signalThe myoelectricity that defeated module (1-4) is transmitted gathers control signal and acceleration gathers control signal;
Collection signal wireless transport module (1-4) is realized signal acquisition part and mobile phone with processing signals wireless transport module (2-1)The signal of APP application section is mutual;
Processor (2-2), for receiving electromyographic signal and the limb motion status signal after packing, adopts small wave converting method realThe noise reduction process of existing signal, and carry out feature extraction, then carry out data analysis by algorithm of support vector machine, it is tested right to obtainThe body-building effect data of elephant; And the myoelectricity that receives line module (2-3) transmission gathers control signal and acceleration collection control letterNumber;
Line module (2-3) is for showing the body-building effect data of measurand, and sends myoelectricity and gather control signal and accelerationDegree gathers control signal.
2. the body-building effect evaluation system based on electromyographic signal and limb action detection according to claim 1, its featureBe, described myoelectric sensor (1-2) is made up of filter circuit, buffer circuit, amplifying circuit and AD conversion chip, electricityThe electromyographic signal of the utmost point (1-1) conduction passes to AD conversion chip through filter circuit, buffer circuit and amplifying circuit successively.
3. the body-building effect evaluation system based on electromyographic signal and limb action detection according to claim 1, its featureBe, described acceleration transducer (1-5) is 16 6 axle acceleration sensors.
4. the body-building effect evaluation system based on electromyographic signal and limb action detection according to claim 1, its featureBe, collection signal wireless transport module (1-4) and processing signals wireless transport module (2-1) be Wi-Fi module orBe bluetooth module.
5. the body-building effect evaluation system based on electromyographic signal and limb action detection according to claim 1, its featureBe, it also comprises power module, and power module is used to controller (1-3) and collection signal wireless transport module (1-4)Power supply.
6. the body-building effect evaluation system based on electromyographic signal and limb action detection according to claim 1, its featureBe, the SVMs training sample set preparation method of described algorithm of support vector machine is: gather many group volunteers notWith the data under body-building intensity, evaluate its body-building effect data, use body-building effect data to form SVMs training sampleSet, and obtain benchmark grader.
CN201610206465.1A 2016-04-05 2016-04-05 Fitness effect evaluation system based on electromyographic signal and body movement detection Pending CN105597298A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610206465.1A CN105597298A (en) 2016-04-05 2016-04-05 Fitness effect evaluation system based on electromyographic signal and body movement detection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610206465.1A CN105597298A (en) 2016-04-05 2016-04-05 Fitness effect evaluation system based on electromyographic signal and body movement detection

Publications (1)

Publication Number Publication Date
CN105597298A true CN105597298A (en) 2016-05-25

Family

ID=55977985

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610206465.1A Pending CN105597298A (en) 2016-04-05 2016-04-05 Fitness effect evaluation system based on electromyographic signal and body movement detection

Country Status (1)

Country Link
CN (1) CN105597298A (en)

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105997066A (en) * 2016-06-15 2016-10-12 哈尔滨工业大学 Portable human surface electromyogram signal collection system
CN106108912A (en) * 2016-07-20 2016-11-16 四川东鼎里智信息技术有限责任公司 Limbs signal assisted acquisition unit
CN106491128A (en) * 2016-12-12 2017-03-15 天津职业技术师范大学 A kind of sensor of measurement surface electromyographic signal and measuring method
CN106821378A (en) * 2017-03-21 2017-06-13 成都柔电云科科技有限公司 A kind of portable muscular fatigue degree testing equipment based on electronics epidermis
CN107239147A (en) * 2017-07-12 2017-10-10 广州阿路比电子科技有限公司 A kind of human body context aware method based on wearable device, apparatus and system
CN107638177A (en) * 2016-07-21 2018-01-30 北京动量科技有限责任公司 A kind of intelligent sphere socks and its implementation
CN107692984A (en) * 2017-05-18 2018-02-16 中科院合肥技术创新工程院 A kind of fatigue detection method and device
CN107714388A (en) * 2017-10-18 2018-02-23 北京联合大学 Massage armchair with glove-type muscle controller for electric consumption
CN107875583A (en) * 2017-12-15 2018-04-06 辽宁工业大学 A kind of multi-functional abdomen-in exercise machine and its locomotor ratings method
CN108209912A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 A kind of electromyographic signal collection method and device
CN108211307A (en) * 2017-05-25 2018-06-29 深圳市未来健身衣科技有限公司 A kind of training method for early warning and device
CN108211311A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 The movement effects display methods and device of body-building action
CN108209911A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 A kind of electromyographic signal collection method and device
CN108355322A (en) * 2018-02-06 2018-08-03 苏州东巍网络科技有限公司 A kind of the fitness equipment system and application method of intelligence customized user body-building scheme
CN108566520A (en) * 2017-05-25 2018-09-21 深圳市前海未来无限投资管理有限公司 The synchronous method and device of video data and movement effects animation
CN109259761A (en) * 2018-08-09 2019-01-25 江汉大学 A kind of method, apparatus and storage medium detecting the endogenous fatigue degree of muscle
CN109688923A (en) * 2016-09-09 2019-04-26 日本电信电话株式会社 Lactate operation threshold value estimating unit and lactate operation threshold value estimation method
CN109864740A (en) * 2018-12-25 2019-06-11 北京津发科技股份有限公司 A kind of the surface electromyogram signal acquisition sensor and equipment of motion state
CN109998490A (en) * 2019-04-19 2019-07-12 北京工业大学 A method of based on uterine myoelectricity signal automatic identification uterine contraction
CN110269606A (en) * 2019-08-05 2019-09-24 东北大学 A kind of 32 road electrocardio of combined type/electromyographic signal collection system
CN110755070A (en) * 2019-08-28 2020-02-07 北京精密机电控制设备研究所 Multi-sensor fusion-based lower limb movement pose rapid prediction system and method
CN112438722A (en) * 2019-08-29 2021-03-05 松下电器（美国）知识产权公司 Method and apparatus for evaluating muscle degeneration and storage medium
CN113057634A (en) * 2021-03-29 2021-07-02 山东思正信息科技有限公司 Psychological evaluation and electrocardiogram data combined acquisition and processing method and system
JP2021104304A (en) * 2019-12-27 2021-07-26 タグル株式会社 Athletic information processing system
CN113749652A (en) * 2021-11-09 2021-12-07 中南大学湘雅二医院 Muscle movement monitoring method and device
CN114288634A (en) * 2022-02-21 2022-04-08 四川轻化工大学 Body-building action self-recognition and alarm system based on electromyographic signal acquisition
US11305157B2 (en) 2019-07-22 2022-04-19 Industrial Technology Research Institute Weight training method, apparatus and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101513567A (en) * 2008-02-22 2009-08-26 上海体育学院 Intellectual plyometrics weight training and diagnosing system
TW201116318A (en) * 2009-11-13 2011-05-16 Inst Information Industry System and method for analyzing muscle performance status at swing action, and program products thereof
CN104224495A (en) * 2014-10-08 2014-12-24 上海理工大学 Portable elbow joint rehabilitation robot control method
CN204121010U (en) * 2014-07-25 2015-01-28 哈尔滨师范大学 A kind of electrocardiogram acquisition based on wireless signal and monitor system
US20150272483A1 (en) * 2014-03-26 2015-10-01 GestureLogic Inc. Systems, methods and devices for exercise and activity metric computation
CN105212926A (en) * 2015-10-20 2016-01-06 王军 Training aids at the bottom of intelligent radio biofeedback monitor and basin

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101513567A (en) * 2008-02-22 2009-08-26 上海体育学院 Intellectual plyometrics weight training and diagnosing system
TW201116318A (en) * 2009-11-13 2011-05-16 Inst Information Industry System and method for analyzing muscle performance status at swing action, and program products thereof
US20150272483A1 (en) * 2014-03-26 2015-10-01 GestureLogic Inc. Systems, methods and devices for exercise and activity metric computation
CN204121010U (en) * 2014-07-25 2015-01-28 哈尔滨师范大学 A kind of electrocardiogram acquisition based on wireless signal and monitor system
CN104224495A (en) * 2014-10-08 2014-12-24 上海理工大学 Portable elbow joint rehabilitation robot control method
CN105212926A (en) * 2015-10-20 2016-01-06 王军 Training aids at the bottom of intelligent radio biofeedback monitor and basin

Cited By (38)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105997066A (en) * 2016-06-15 2016-10-12 哈尔滨工业大学 Portable human surface electromyogram signal collection system
CN106108912B (en) * 2016-07-20 2018-11-30 四川东鼎里智信息技术有限责任公司 Limbs signal assisted acquisition unit
CN106108912A (en) * 2016-07-20 2016-11-16 四川东鼎里智信息技术有限责任公司 Limbs signal assisted acquisition unit
CN107638177A (en) * 2016-07-21 2018-01-30 北京动量科技有限责任公司 A kind of intelligent sphere socks and its implementation
CN109688923A (en) * 2016-09-09 2019-04-26 日本电信电话株式会社 Lactate operation threshold value estimating unit and lactate operation threshold value estimation method
CN109688923B (en) * 2016-09-09 2022-04-19 日本电信电话株式会社 Lactic acid operation threshold estimation device and lactic acid operation threshold estimation method
CN106491128B (en) * 2016-12-12 2023-09-26 天津职业技术师范大学 Sensor and method for measuring surface electromyographic signals
CN106491128A (en) * 2016-12-12 2017-03-15 天津职业技术师范大学 A kind of sensor of measurement surface electromyographic signal and measuring method
CN106821378A (en) * 2017-03-21 2017-06-13 成都柔电云科科技有限公司 A kind of portable muscular fatigue degree testing equipment based on electronics epidermis
CN107692984A (en) * 2017-05-18 2018-02-16 中科院合肥技术创新工程院 A kind of fatigue detection method and device
CN108209911B (en) * 2017-05-25 2020-02-07 深圳市前海未来无限投资管理有限公司 Electromyographic signal acquisition method and device
CN108211311A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 The movement effects display methods and device of body-building action
CN108209911A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 A kind of electromyographic signal collection method and device
CN108211307A (en) * 2017-05-25 2018-06-29 深圳市未来健身衣科技有限公司 A kind of training method for early warning and device
CN108566520A (en) * 2017-05-25 2018-09-21 深圳市前海未来无限投资管理有限公司 The synchronous method and device of video data and movement effects animation
CN108209912A (en) * 2017-05-25 2018-06-29 深圳市前海未来无限投资管理有限公司 A kind of electromyographic signal collection method and device
CN108566520B (en) * 2017-05-25 2020-10-20 深圳市前海未来无限投资管理有限公司 Method and device for synchronizing video data and motion effect animation
CN107239147A (en) * 2017-07-12 2017-10-10 广州阿路比电子科技有限公司 A kind of human body context aware method based on wearable device, apparatus and system
CN107714388A (en) * 2017-10-18 2018-02-23 北京联合大学 Massage armchair with glove-type muscle controller for electric consumption
CN107875583A (en) * 2017-12-15 2018-04-06 辽宁工业大学 A kind of multi-functional abdomen-in exercise machine and its locomotor ratings method
CN108355322A (en) * 2018-02-06 2018-08-03 苏州东巍网络科技有限公司 A kind of the fitness equipment system and application method of intelligence customized user body-building scheme
CN109259761A (en) * 2018-08-09 2019-01-25 江汉大学 A kind of method, apparatus and storage medium detecting the endogenous fatigue degree of muscle
CN109259761B (en) * 2018-08-09 2021-01-08 江汉大学 Method, device and storage medium for detecting muscle endogenous fatigue
CN109864740A (en) * 2018-12-25 2019-06-11 北京津发科技股份有限公司 A kind of the surface electromyogram signal acquisition sensor and equipment of motion state
CN109864740B (en) * 2018-12-25 2022-02-01 北京津发科技股份有限公司 Surface electromyogram signal acquisition sensor and equipment in motion state
CN109998490B (en) * 2019-04-19 2021-11-05 北京工业大学 Method for automatically identifying uterine contractions based on uterine myoelectric signals
CN109998490A (en) * 2019-04-19 2019-07-12 北京工业大学 A method of based on uterine myoelectricity signal automatic identification uterine contraction
US11305157B2 (en) 2019-07-22 2022-04-19 Industrial Technology Research Institute Weight training method, apparatus and system
CN110269606A (en) * 2019-08-05 2019-09-24 东北大学 A kind of 32 road electrocardio of combined type/electromyographic signal collection system
CN110755070A (en) * 2019-08-28 2020-02-07 北京精密机电控制设备研究所 Multi-sensor fusion-based lower limb movement pose rapid prediction system and method
CN110755070B (en) * 2019-08-28 2022-07-05 北京精密机电控制设备研究所 Multi-sensor fusion-based lower limb movement pose rapid prediction system and method
CN112438722A (en) * 2019-08-29 2021-03-05 松下电器（美国）知识产权公司 Method and apparatus for evaluating muscle degeneration and storage medium
JP2021104304A (en) * 2019-12-27 2021-07-26 タグル株式会社 Athletic information processing system
JP7037196B2 (en) 2019-12-27 2022-03-16 タグル株式会社 Athletic information processing system
CN113057634A (en) * 2021-03-29 2021-07-02 山东思正信息科技有限公司 Psychological evaluation and electrocardiogram data combined acquisition and processing method and system
CN113749652A (en) * 2021-11-09 2021-12-07 中南大学湘雅二医院 Muscle movement monitoring method and device
CN114288634A (en) * 2022-02-21 2022-04-08 四川轻化工大学 Body-building action self-recognition and alarm system based on electromyographic signal acquisition
CN114288634B (en) * 2022-02-21 2023-01-06 四川轻化工大学 Body-building action self-recognition and alarm system based on electromyographic signal acquisition

Similar Documents

Publication Publication Date Title
CN105597298A (en) Fitness effect evaluation system based on electromyographic signal and body movement detection
KR101448106B1 (en) Analisys Method of Rehabilitation status using Electromyogram
CN104582564B (en) Biological signal measuring device and biosignal measurement set
CN104107134A (en) Myoelectricity feedback based upper limb training method and system
CN101422358B (en) Device for detecting heartbeats of a person using cycles and training implements
CN106037738A (en) Wearable physical training evaluation system and device
CN205198908U (en) Body -building auxiliary system
CN103284705A (en) Device, system and method for monitoring physiological features of wearable rescue worker dynamically
CN104545912A (en) Cardiac and pulmonary impedance measuring method and device
CN106725422A (en) Based on ECG detecting, display and the integral system for uploading
CN105212928B (en) Signal processing system and method, and biological impedance detection device and assembly
KR20120094857A (en) Apparatus for measure of bio signal and method for analysis of rehabilitation training by suit type bio sensors
CN105181998A (en) Method for detecting SEMG and motion locus of arm in shooting mode
CN102940487A (en) Wireless remote electrocardio detecting system in motion state
CN102178524A (en) Synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method
CN110974182A (en) Sarcopenia risk assessment system based on bioelectrical impedance method
CN103637784A (en) ZigBee technology based physiological parameter acquisition system
CN106166069A (en) The microsensor of a kind of myoelectricity collection amplification and sensor-based training method
CN105279383A (en) Six-minute walk training rehabilitation system and distance calculation method thereof
CN202776280U (en) Wearable rescue personnel physiological characteristic dynamic monitoring device and rescue personnel physiological characteristic dynamic monitoring system
CN204542209U (en) A kind of ovulation of the multisensor based on body fluid conductivity sensor test macro
CN113229832A (en) System and method for acquiring human motion information
CN112263254A (en) Human body energy consumption prediction system based on surface electromyogram signal sensor and prediction method thereof
CN207220807U (en) A kind of cardio-pulmonary function evaluating system
CN104000567B (en) Portable multipoint pulse wireless monitoring system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160525