Pongphan PongpanitanontWarakorn CharoensukMahidol University2018-06-112018-06-112012-12-015th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012)2-s2.0-84875120651https://repository.li.mahidol.ac.th/handle/20.500.14594/14108This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2 nd order series for processing EMG signal. This work had compared between filtered EMG and 2 nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2 nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier. ©2012 IEEE.Mahidol UniversityEngineeringConference PaperSCOPUS10.1109/BMEiCon.2012.6465493