Abstract
The population distribution of the electromyographic patterns from several muscles in 25 normal subjects walking at free speed was investigated. The utility and sufficiency of Karhunen-Loeve expansions for reducing the dimension of electromyographic patterns was demonstrated. Cluster analysis was used to separate the constituent patterns into major groups.
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Shiavi, R., Griffin, P. Representing and clustering electromyographic gait patterns with multivariate techniques. Med. Biol. Eng. Comput. 19, 605–611 (1981). https://doi.org/10.1007/BF02442775
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DOI: https://doi.org/10.1007/BF02442775