Currently I am working on EMG signals classification and feature extraction for the control of multifunction upper arm prosthesis. I want to know if there are any other methods other than Linear Discriminant Analysis that can show better outcome?
Hello syedah,
Just go through the following article, this article explain many EMG signals classification and feature extraction approaches. Hope you will found your answer in the article.
Techniques of EMG signal analysis: detection, processing, classification and applications (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1455479/).
Have you considered using Support Vector Machines?
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1642128&tag=1
Selection of method may require attention to number of EMG signals (control, channel) and discrimination of postures (number). Could fuzzy approach provide a robust solution with high recognition rate?
Thanks Inam Ul Ahad.. Fuzzy approach could also be used, I will study it in detail. Do you have any experience of working on EMG signals ?
Hi, many method u can use for extraction, for example: PCA. DCT, DWT
Shiva I want to know if any of the other methods can give better results than LDA
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