Chaotic synchronization of respiration and center of gravity sway

Ryoko Takikawa, Yasutomo Ishii, Taira Suzuki, Mayumi Oyama-Higa

    研究成果: Conference contribution

    抄録

    Thus far, attention has been paid to phenomena wherein respiratory movement and physical movement systems have worked in coordination with one another, which has been studied. On the other hand, the earlier studies have hinted at the importance of considering mental and physical health from a holistic perspective, while taking into consideration the principles that prescribe the chaotic behavior of living organisms. In other words, this raises the issue: The validity of hypothesizing chaos dynamics as a universal principle for living systems that prescribes the chaotic nature of center of gravity sway and respiration. Therefore, the purpose of this study is to focus on center of gravity sway and respiration in order to examine the relationship in the chaotic nature between the two. Consequently, the issue presented above was supported. What this implies is that quantitatively assessing synchronous phenomena for the LLE for center of gravity sway and respiration used in this study is a more highly valid approach for determining people's mental and physical conditions in the field of clinical medicine, and therefore it could potentially be applied as a means of substantially supporting the promotion of health.

    本文言語English
    ホスト出版物のタイトルICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ336-341
    ページ数6
    ISBN(電子版)9781479985623
    DOI
    出版ステータスPublished - 2016 3 22
    イベントInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 - Okinawa, Japan
    継続期間: 2015 11 282015 11 30

    Other

    OtherInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015
    国/地域Japan
    CityOkinawa
    Period15/11/2815/11/30

    ASJC Scopus subject areas

    • 信号処理
    • 健康情報学
    • バイオテクノロジー
    • 人工知能

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