Myoelectric Sensor Technology for Intelligent Prosthesis and Wearable Human-Computer Interaction

With the ageing of the population and the increase in the number of people with limb disfunction, intelligent prosthetic and wearable human-computer interaction systems put forward higher requirements for highly reliable motor intention acquisition technology. As an important bioelectric signal reflecting the state of muscle activity, myoelectric signals have unique advantages in prosthetic control and rehabilitation assistance. This article focusses on the collection and sensing technology of myoelectric signals, and systematically sorts out the structural characteristics, signal performance and application scenarios of different schemes such as surface electro myoelectric sensors, intrusive myoelectric sensors, flexible wet electrodes and flexible dry electrodes. Through the comparative analysis of existing research results, the advantages and limitations of various electro myoelectric sensors in terms of signal quality, spatial selectivity, wearing comfort and system integration are pointed out, and the key challenges such as signal stability, crosstalk suppression and long-term wearing reliability are summarized. This article aims to provide a reference basis for the selection and optimization design of electro myoelectric sensors in intelligent prosthetics and wearable systems.