• DocumentCode
    1950556
  • Title

    Transition of rates of respiration and pulse, and sleeping posture during night detected by body motion wave

  • Author

    Okawai, H. ; Yajima, Tamotsu ; Imamatsu, T.

  • Author_Institution
    Grad. Sch. of Eng., Iwate Univ., Morioka, Japan
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    In order to study autonomic nervous system during sleep, body motion wave, BMW, was adopted. BMW was produced by dynamic air pressure sensor to obtain information of respiration, pulse and body action during sleep, viz., unconscious state. In addition, the information of body position produced by a pressure sensor array was adopted. As a result, it was demonstrated that (1) the rate pattern were classified into almost three patterns, (2) the transition of rates of respiration and pulse had periodicity, and (3) the periods in the transition of the rates of respiration and pulse did not always agree, (4) the rate of action changed through one night in the range approximately one or two times for every minute. It was thus found that both respiratory and circulation systems were controlled by autonomic nervous system with a little different manner. In addition, body actions produced by skeletal muscles controlled by somatic nervous system, occurred approximately with some rhythms during sleep, as well known to be sleeping posture.
  • Keywords
    biomechanics; biomedical measurement; haemodynamics; neurophysiology; pneumodynamics; pressure sensors; autonomic nervous system; body motion wave; circulation system; dynamic air pressure sensor; pressure sensor array; pulse rate; respiration rate; skeletal muscles; sleeping posture; somatic nervous system; unconscious state; autonomic nervous system; body motion wave; sleep; unconscious;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-1664-4
  • Type

    conf

  • DOI
    10.1109/IECBES.2012.6498104
  • Filename
    6498104