A continuous recognition method of elbow joint motion based on surface electromyography

An identification method and elbow joint technology, applied in passive exercise equipment, medical science, physical therapy, etc., can solve problems such as low stability, complexity, and measurement devices that cannot measure the measurement process in real time, and achieve improved stability and continuous measurement. , Improve the effect of control accuracy and control ability

Active Publication Date: 2020-05-08
BEIJING MECHANICAL EQUIP INST
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Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a method for continuous recognition of elbow joint movements based on surface electromyography to solve the problems that the existing measurement devices cannot measure in real time and the measurement process is complicated and the stability is low, and how to improve the accuracy of upper limbs. The control accuracy and control ability of the exoskeleton, and achieve a better assist effect and human-machine experience

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  • A continuous recognition method of elbow joint motion based on surface electromyography
  • A continuous recognition method of elbow joint motion based on surface electromyography

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Embodiment Construction

[0038] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings constitute a part of the application and are used together with the embodiments of the present invention to explain the principle of the present invention.

[0039] A continuous recognition method of elbow joint movement based on surface EMG, the steps of the method are:

[0040] S1. Collection and preprocessing of EMG signals related to elbow joint movements to obtain the EMG signals of the biceps and triceps at a certain moment:

[0041] Collect the EMG signal every time t, and count once, until the end of the identification process, count N times in total, where N≥2;

[0042] At time n after n·t time elapses after the identification process starts, the EMG signal of the biceps brachii muscle is x(n), and the EMG signal of the triceps brachii muscle is y(n), where 0≤n≤N, and n is Integer.

[0043] Give initial values ​​t...

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Abstract

The invention relates to an elbow joint motion continuous recognition method based on surface myoelectricity. The method comprises the steps of acquiring and preprocessing an elbow joint motion related myoelectric signal to obtain a musculus biceps brachiimyoelectric signal and a musculus triceps brachiimyoelectric signalat some moment; calculatingmyoelectric energy characteristics of the musculusbiceps brachii and the musculus triceps brachiiat the moment to obtain themusculus biceps brachii myoelectric energy characteristicsat the moment and the musculustriceps brachiimyoelectric energy characteristics at the moment; recognizing elbow joint motions at the moment according to the musculus biceps brachiimyoelectric energy characteristics and the musculus triceps brachiimyoelectric energycharacteristics at the moment; repeating the second step andidentifying elbow joint motions at the next moment till the whole recognition process is finished. The elbow joint motion continuous recognition method has the advantages of being simple in algorithm, high in accuracy and robustness and the like. A wearer can decide the flexion and extension movement amplitude of the upper limb elbow joint at any time according to conditions like upper limb real-time physical force, and a superior power-assisting effect and human-computer experience are achieved.

Description

Technical field [0001] The present invention relates to the technical field of elbow joint motion recognition, in particular to a continuous recognition method of elbow joint motion based on surface electromyography. Background technique [0002] The upper limbs of the human body are the main limbs that the human body engages in various complex and fine motor tasks. Its motor functions and abilities have a decisive influence on the human body's work efficiency. Upper extremity exoskeleton is a wearable power-assisting mechanism, which has extremely important application value in the field of rehabilitation medicine and military field. For example, it can assist or replace physicians in completing upper extremity rehabilitation training, assist the human body in carrying heavy objects or complete upper extremity participation Of highly repetitive tasks. Upper extremity exoskeleton is a complex electromechanical system with strong human-machine coupling. Its timely and accurate id...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61H1/02A61B5/0488B25J9/00
CPCA61B5/4836A61B5/72A61H1/0277A61H2201/1207A61H2201/165A61H2205/06A61H2230/625A61B5/389B25J9/0006
Inventor 陈远方张利剑
Owner BEIJING MECHANICAL EQUIP INST
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