An array type flexible surface electromyography electrode and its preparation method

Abstract

The invention discloses an array-type flexible surface electromyography electrode and a preparation method thereof. The electrode is used to measure the surface electromyography signal of a human body, and mainly includes a circular electrode sheet arranged in an array and a flexible electrode substrate and insulating oil on which it depends. As well as medical tape and conductive paste for improved contact. The array electrode consists of a plurality of electrode units arranged in a spatial array, and has good softness, adhesiveness and strong deformation adaptability. The spatial distance, array arrangement and impedance matching adopted by the present invention can effectively reduce noise and extract electromyographic signals, so as to facilitate subsequent signal processing. The electrode array designed in the present invention can be easily expanded to more channels to obtain electromyographic images with sufficient spatial resolution, and the surface electrode array adopted can avoid the damage of the plug-in electrodes to the human body, and can also be obtained after expanding enough electrode arrays. Set of images of multiple muscle groups.

Description

technical field [0001] The invention belongs to the field of human body surface electromyography signal acquisition equipment manufacturing, in particular to an array type flexible surface electromyography electrode and a preparation method. Background technique [0002] Biomedical electrical signals are low-frequency weak signals in the background of strong noise, and are natural signals generated by human activities, which contain a large number of important information and physiological indicators of human activities. [0003] Electromyography (EMG), also known as electromyography, is an electrical signal curve recorded by electronic instruments when muscles are at rest or contracting. The motor unit action potential formed by multiple motor units participating in muscle activity passes through the muscle and subcutaneous tissue. It is formed by time-space superposition at the detection electrode after the filtering effect of the volume conductor composed of the skin and ...

AI Technical Summary

Problems solved by technology

[0007] However, the sEMG acquisition methods we can see at present are all composed of several channels, and the signal is rarely spatially filtered.

However, there is crosstalk in EMG signals, and the completion of a certain action often requires the cooperation of multiple muscle groups. Due to the local distribution of the existing electrodes, relevant information cannot be extracted, and it is impossible to use them for higher-level graphics research.

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