Robust Muscle Activity Onset Detection Using an Unsupervised Electromyogram Learning Framework

Robust Muscle Activity Onset Detection Using an Unsupervised Electromyogram Learning Framework

Accurate muscle activity onset detection is an essential prerequisite for many applications of surface electromyogram (EMG). This study presents an unsupervised EMG learning framework based on a sequential Gaussian mixture model (GMM) to detect muscle activity onsets. The distribution of the logarit...

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Bibliographic Details
Main Authors: Liu, Jie, Ying, Dongwen, Rymer, William Z., Zhou, Ping
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454555/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454555/

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