Man-machine interface system based on fusion of surface electromyography (EMG) and myocrismus signals

Abstract

The present invention discloses a man-machine interface system based on fusion of surface electromyography (EMG) and myocrismus signals, comprising a combined acquisition apparatus of EMG and myocrismus signals and a fusion decoding apparatus of EMG and myocrismus signals. The combined acquisition apparatus of EMG and myocrismus signals is used to simultaneously acquire single-channel surface EMG and myocrismus signals or multi-channel surface EMG and myocrismus signals. The fusion decoding apparatus of EMG and myocrismus signals is used to decode a human intention so as to convert the human intention into a control instruction of an external device. The combined acquisition apparatus of EMG and myocrismus signals comprises a surface electrode module and a myocrismus sensor module. The combined acquisition apparatus of EMG and myocrismus signals collects an EMG signal by using the surface electrode module, and collects a myocrismus signal by using the myocrismus sensor module. On a same muscle, the combined acquisition apparatus of EMG and myocrismus signals can collect both an surface EMG signal and a myocrismus signal simultaneously, so as to reflect muscle activities both in terms of muscle electrophysiology and in terms of muscle vibration.

Description

technical field [0001] The invention relates to the technical field of biomedical engineering and man-machine interface, in particular to a man-machine interface system based on fusion of surface myoelectricity and myotone signals. Background technique [0002] Surface electromyography (SEMG) describes the discharge phenomenon of motor neurons during muscle contraction, and is an important information for non-invasive detection of muscle activity on the body surface. Myoelectric signals reflect human action intentions, so they can be widely used in human-machine interface technologies, such as teleoperation and prosthetic control. However, the EMG signal also has many deficiencies, such as the need to clean the skin before the EMG sensor is placed, the EMG signal is sensitive to changes in skin impedance, skin sweating, and poor anti-interference ability. Human-machine interface robustness of electrical signals. [0003] Muscle sound signal, also known as myogram, is the l...

AI Technical Summary

Problems solved by technology

However, muscle sound signals are susceptible to interference from environmental noise and body movement artifacts, and the overall signal-to-noise ratio is lower than that of myoelectric signals. Therefore, the decoding rate of myoelectric signals is about 10% lower than that of myoelectric signals.

However, there is currently no device for joint acquisition of myoelectric signals and myotone signals, and there is also a lack of human-machine interface technology for decoding myoelectric signals and myotone signals.

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