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

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    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

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    Keywords

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

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Science(all)

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