Now showing items 1-2 of 2
Multivariate Empirical Mode Decomposition Based EMG Signal Analysis For Smart Prosthesis
Electromyography (EMG) signals are successfully used for human-robot interaction with biomedical applications. One of the basic components of many modern prosthesis is the myoelectric control system which controls prosthetic ...
Amputee Electromyography Signal Classification Using Convolutional Neural Network
(Institute of Electrical and Electronics Engineers Inc., 2020)
The classification of EMG signals for the amputees is important to develop a powered-prosthetic that is capable of replacing with lost limbs. The EMG signals collected from residual limbs reduce the classification accuracy ...