Visualization of activated muscle area based on sEMG

Based on HSV gamut space, a visualization system of muscle activity is proposed to study the mapping relationship between hand motion and active areas of upper arm muscle. There is a significant threshold change in the starting and ending points of the active segment in the original EMG signal, and the part that exceeds the threshold TH is the active segment date. Set the window width K and fixed increment Kt of time window to remove redundant data. The sEMG intensity information of each sampling electrode is obtained by calculating MAV in each window, and the simulation experiment is conducted in HSV gamut space. Through the human-computer interaction experiment of the visual system, it is proved that this system can visually display the relationship between different channels in the spatial domain, thus intuitively identify the activity intensity of different muscles in hand motion. © 2020-IOS Press and the authors. All rights reserved.