A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Automatic estimation of continuous elbow flexion–extension movement based on electromyographic and electroencephalographic signals
2021
Biomedical Signal Processing and Control
The aim of this study was to estimate the elbow joint angle based on EMG and EEG signals using signal processing and machine learning techniques. 21 subjects (ten females, eleven males) performed synchronous flexion-extension movements while EMG, EEG, and elbow kinematic signals were recorded. The EMG and EEG signals were used to estimate the elbow angle employing a long short-term memory neural network. The best results were obtained by training one network per subject (intra subject). The
doi:10.1016/j.bspc.2021.102950
fatcat:77aj5ri6xbgbnmo6yb2yrt7kc4