Statistical feature and channel selection for upper limb classification using sEMG signal processing

Maurício Cagliari Tosin; Vinícius Horn Cene; Alexandre Balbinot

doi:10.1007/s42600-020-00080-w

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Statistical feature and channel selection for upper limb classification using sEMG signal processing

Maurício Cagliari Tosin Vinícius Horn Cene Alexandre Balbinot

Year: 2020 Journal: Research on Biomedical Engineering Vol: 36 (4)Pages: 411-427 Publisher: Springer Nature

DOI: 10.1007/s42600-020-00080-w

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Keywords:

Feature selection Pattern recognition (psychology) Artificial intelligence Support vector machine Computer science Feature extraction Classifier (UML) Entropy (arrow of time) Feature (linguistics) Feature vector Ranking (information retrieval)

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Muscle activation and electromyography studies

Physical Sciences → Engineering → Biomedical Engineering

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Statistical feature and channel selection for upper limb classification using sEMG signal processing

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