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  • Title: Temporal feature extraction and clustering analysis of electromyographic linear envelopes in gait studies.
    Author: Chen JJ, Shiavi R.
    Journal: IEEE Trans Biomed Eng; 1990 Mar; 37(3):295-302. PubMed ID: 2184121.
    Abstract:
    A technique for automatically clustering linear envelopes of the EMG during gait has been developed which uses a temporal feature representation and a maximum peak matching scheme. This new 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 a minimum distance measurement. The resulting averaged EMG profiles have low statistical variation and can serve as templates for EMG comparison and further classification.
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