Abstract
Separation of signal features is the separation of the necessary data by selecting the desired parts of the signal. In this research, a comparative analysis of the classification based on some significant time domain and frequency domain features of the EMG signal is presented. In our research, it became clear analyzed that in the individual and combination application of features in the time and frequency domains, the features in the time domain had a higher rate than the features in the frequency domain with their speed and accuracy.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
