EMG pattern classification by split and merge deep belief network

• Main Authors: Hyeon Min Shim, Hongsub An, Sanghyuk Lee, Eung Hyuk Lee, Hong Ki Min, Sangmin Lee
• Format: Journal
• Published: 2018
• Subjects: Chemistry; Computer Science; Mathematics; Physics and Astronomy
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85003844960&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/55487
• Institution: Chiang Mai University

© 2016 by the authors. In this paper; we introduce an enhanced electromyography (EMG) pattern recognition algorithm based on a split-and-merge deep belief network (SM-DBN). Generally, it is difficult to classify the EMG features because the EMG signal has nonlinear and time-varying characteristics....