CLUSTERING OF EMG GAIT PATTERN WITH TEMPORAL FEATURE.

Jia-Jin Chen, R. G. Shiavi

研究成果: Conference contribution

摘要

A technique for automatic clustering of the linear envelope of the EMG during gait has been developed which uses a temporal feature representation and maximum peak matching scheme. This technique provides a viable way to define compact and meaningful EMG waveform features. The envelope matching is performed by dynamic programming, providing qualitatively the largest numbers of matched peaks and quantitatively minimum distance measurement. The resulting averaged EMG profiles have low statistical variation and can serve as templates for EMG comparison and classification.

原文English
主出版物標題IEEE/Engineering in Medicine and Biology Society Annual Conference
發行者IEEE
頁面614-617
頁數4
出版狀態Published - 1986

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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