Change detection technique for muscle tone during static stretching by continuous muscle viscoelasticity monitoring using wearable indentation tester

Naomi Okamura, Yo Kobayashi, Shigeki Sugano, Masakatsu G. Fujie

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

    1 Citation (Scopus)

    Abstract

    Static stretching is widely performed to decrease muscle tone as a part of rehabilitation protocols. Finding out the optimal duration of static stretching is important to minimize the time required for rehabilitation therapy and it would be helpful for maintaining the patient's motivation towards daily rehabilitation tasks. Several studies have been conducted for the evaluation of static stretching; however, the recommended duration of static stretching varies widely between 15-30 s in general, because the traditional methods for the assessment of muscle tone do not monitor the continuous change in the target muscle's state. We have developed a method to monitor the viscoelasticity of one muscle continuously during static stretching, using a wearable indentation tester. In this study, we investigated a suitable signal processing method to detect the time required to change the muscle tone, utilizing the data collected using a wearable indentation tester. By calculating a viscoelastic index with a certain time window, we confirmed that the stretching duration required to bring about a decrease in muscle tone could be obtained with an accuracy in the order of 1 s.

    Original languageEnglish
    Title of host publication2017 International Conference on Rehabilitation Robotics, ICORR 2017
    PublisherIEEE Computer Society
    Pages1686-1691
    Number of pages6
    ISBN (Electronic)9781538622964
    DOIs
    Publication statusPublished - 2017 Aug 11
    Event2017 International Conference on Rehabilitation Robotics, ICORR 2017 - London, United Kingdom
    Duration: 2017 Jul 172017 Jul 20

    Other

    Other2017 International Conference on Rehabilitation Robotics, ICORR 2017
    CountryUnited Kingdom
    CityLondon
    Period17/7/1717/7/20

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering
    • Rehabilitation
    • Medicine(all)

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  • Cite this

    Okamura, N., Kobayashi, Y., Sugano, S., & Fujie, M. G. (2017). Change detection technique for muscle tone during static stretching by continuous muscle viscoelasticity monitoring using wearable indentation tester. In 2017 International Conference on Rehabilitation Robotics, ICORR 2017 (pp. 1686-1691). [8009490] IEEE Computer Society. https://doi.org/10.1109/ICORR.2017.8009490