Repeatability analysis of rollover recognition in changing myoelectric electrode condition.

Takeshi Ando, Masakatsu G. Fujie

    Research output: Contribution to journalArticle

    Abstract

    Bone cancer metastasis patients feel severe pain while performing rollover movement. We have been developing a robotic trunk orthosis to support the rollover movement in bed for bone cancer metastasis patients. In this support system, the myoelectric signal is used to recognize the start timing of the rollover movement. However, the characteristics of the myoelectric signal can change easily from long-term use and due to electrode misalignment. In this paper, the effects of long-term use and electrode misalignment in rollover movement were analyzed. It was found that continuous usage of less than 18 hours was suitable. In addition, the electrode was needed to be attached around the ASIS from 0 to 23 (deg) to obtain a large potential and quick response signal.

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Biomedical Engineering
    • Health Informatics

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