A Density-Based Clustering Approach to Motor Unit Potential Characterizations to Support Diagnosis of Neuromuscular Disorders.

IEEE Transactions on Neural Systems and Rehabilitation Engineering（2017）

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摘要

Electrophysiological muscle classification involves characterization of extracted motor unit potentials (MUPs) followed by the aggregation of these MUP characterizations. Existing techniques consider three classes (i.e., myopathic, neurogenic, and normal) for both MUP characterization and electrophysiological muscle classification. However, diseased-induced MUP changes are continuous in nature, wh...

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关键词

Clustering algorithms,Heuristic algorithms,Shape,Diseases,Neuromuscular,Classification algorithms

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