Development of electromyography signal signature for forearm muscle

I. Elamvazuthi, Zulika Zulkifli, Zulfiqar Ali, M. K.A.Ahamed Khan, S. Parasuraman, M. Balaji, M. Chandrasekaran

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

    3 Citations (Scopus)


    Electromyography (EMG) measures muscle response or electrical activity in response to a nerve's stimulation of the muscle. EMG is generally acquired through surface and needle or wire electrodes. The needle or wire electrodes are usually used by clinicians in a clinical setting. This paper concentrates on surface electromyography (sEMG) signal that is acquired in a research laboratory since sEMG is increasingly being recognized as the gold standard for the analysis of muscle activation. The sEMG can utilized for establishing signal signature for forearm muscles that becomes an important input in development of rehabilitative devices. This paper discusses the establishment of sEMG signal signature of female and male subjects for forearm muscles such as extensor carpi radialis, flexor carpi radialis, palmaris longus and pronator teres based on movements such as wrist extension and flexion, hand open and close, and forearm supination and pronation. This was achieved through the use of Butterworth Bessel, Elliptic and Chebyshev filters. The sEMG signal signature could be useful in the development of rehabilitation device of upper extremities.

    Original languageEnglish
    Title of host publicationIEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015
    Number of pages6
    Publication statusPublished - 2015
    EventIEEE International Symposium on Robotics and Intelligent Sensors 2015 - Langkawi, Malaysia
    Duration: 18 Oct 201520 Oct 2015 (Proceedings)

    Publication series

    NameProcedia Computer Science
    ISSN (Print)1877-0509


    ConferenceIEEE International Symposium on Robotics and Intelligent Sensors 2015
    Abbreviated titleIRIS 2015
    Internet address


    • Electromyography
    • filtering
    • forearm muscle
    • rehabilitation
    • signal signature

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