Response evaluation of rollover recognition in myoelectric controlled orthosis using pneumatic rubber muscle for cancer bone metastasis patient

Takeshi Ando, Jun Okamoto, Mitsuru Takahashi, Masakatsu G. Fujie

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    The myoelectric controlled rollover support orthosis we have been developing for use in bone cancer metastasis requires high accuracy and quick response in signal processing to recognize movement. We quantitatively evaluated the response performance of recognizing rollover using our original Micro Macro Neural Network (MMNN) algorithm. Required response time was calculated as 60 ms by measuring contraction time for the muscle used in the orthosis to support rollover. The MMNN recognized rollover 65 ms before it started. Rollover was recognized 5 ms after a myoelectric signal was generated, so the MMNN response was sufficient for the muscle to finish contraction before rollover started.

    Original languageEnglish
    Pages (from-to)302-309
    Number of pages8
    JournalJournal of Robotics and Mechatronics
    Volume23
    Issue number2
    Publication statusPublished - 2011 Apr

    Fingerprint

    Pneumatics
    Macros
    Muscle
    Rubber
    Bone
    Neural networks
    Response time (computer systems)
    Signal processing

    Keywords

    • Myoelectric signal (EMG)
    • Orthosis
    • Pneumatic rubber muscle
    • Response performance
    • Rollover

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Science(all)

    Cite this

    Response evaluation of rollover recognition in myoelectric controlled orthosis using pneumatic rubber muscle for cancer bone metastasis patient. / Ando, Takeshi; Okamoto, Jun; Takahashi, Mitsuru; Fujie, Masakatsu G.

    In: Journal of Robotics and Mechatronics, Vol. 23, No. 2, 04.2011, p. 302-309.

    Research output: Contribution to journalArticle

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