Electromyography (EMG) performs an investigation on muscles work through the examination of electrical movement that is created from muscles. This electrical movement is shown in type of sign is the consequence of neuromuscular initiation related with muscle constriction. Highlight extraction is the change of the crude sign information into an applicable information structure by evacuating clamor, and featuring the significant information. This paper investigates three fundamental classes of highlights, for example: time area, recurrence space, and the time-recurrence area for the activity of an EMG based control framework.


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    Titel :

    Surface Eletromyography Feature Extraction Techniques – A Review


    Beteiligte:
    Emayavaramban, G. (Autor:in) / Amudha, A. (Autor:in) / Ramkumar, M. Siva (Autor:in) / Divyapriya, S. (Autor:in) / Nagaveni, P. (Autor:in)


    Erscheinungsdatum :

    05.11.2020


    Format / Umfang :

    117712 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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