Electromyogram intelligent detection device and operation method

Abstract

The invention relates to an electromyogram intelligent detection device and an operation method. An electromyogram intelligent detection device comprises detection equipment used for detecting electromyograms and a bed used for limiting the body position of a patient; the detection equipment is arranged on one side of the bed; The detection equipment for detecting the electromyogram comprises a rack, an myoelectricity module for detecting myoelectricity potential changes and a vision module for detecting muscle body surface movement changes. The myoelectricity module and the vision module are arranged at the upper part of the rack; the myoelectricity module comprises a electromyograph and an electrode; the number of the electrodes is larger than or equal to three, and the inner ends of the electrodes are connected with the electromyograph. The visual module comprises a visual processor, a camera and a tension sensor; the camera and the tension sensor are both connected with the visual processor; the number of the tension sensors is larger than or equal to 3. The invention has the beneficial effects that visual and myoelectric multi-path muscle motion state detection is realized, the detection sensitivity and the detection precision are ensured, the requirement on the matching degree of a patient and a doctor is reduced, and the detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of medical appliances, in particular to an electromyography intelligent detection device and an operation method. Background technique [0002] Electromyogram (electromyogram, EMG) refers to the muscle bioelectric pattern recorded by electromyography. It is of great significance to evaluate human activities in man-machine systems. It can be measured with a dedicated electromyography or polyconductor physiology instrument. The graph measured during static muscle work shows three typical waveforms: simple phase, mixed phase and interference phase, which are closely related to the muscle load intensity. [0003] Existing electromyography mainly uses electromyography to detect myoelectric transformation, and then cooperates with computer analysis to simulate the corresponding atlas. The display changes of heavy, moderate and heavy loads, and the identification range of the load level is wide, which makes it d...

AI Technical Summary

Problems solved by technology

[0003] Existing electromyography mainly uses electromyography to detect myoelectric transformation, and then cooperates with computer analysis to simulate the corresponding atlas. The display changes of heavy, moderate and heavy loads, and the identification range of the load level is wide, which makes it difficult to guarantee the detection accuracy and affect the detection judgment. In the actual detection process, the degree of cooperation between the patient and the medical staff is high, and it is very easy to cause the patient to fail to cooperate. Inappropriate, resulting in long detection and low detection efficiency

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