EMG pattern classification by split and merge deep belief network

EMG pattern classification by split and merge deep belief network

© 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....

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Bibliographic Details
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
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Institution: Chiang Mai University

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85003844960&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55487

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