Association of phase coupling of respiratory sinus arrhythmia with slow wave brain activity

DOI
  • NIIZEKI KYUICHI
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University.
  • UKAWA NARUMI
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University.
  • SAITOH TADASHI
    Department of Biosystems Engineering, Graduate School of Science and Engineering, Yamagata University.

Bibliographic Information

Other Title
  • 呼吸性不整脈位相カップリングと徐波睡眠の連関

Abstract

<p>A lack of slow wave sleep (SWS) has been suggested to cause medical problems including cardiovascular diseases and diabetes. Thus, accurately detecting the quantity and length of SWS during sleep is of importance and interest. This study analyzed how phase coupling (lambda) of respiratory sinus arrhythmia (RSA) is altered during sleep in order to explore if this measure is a useful predictor of SWS. Overnight EEG and ECG of 25 volunteers were recorded. The EEG was band-pass filtered to extract the delta activity. From the oscillatory signals of RSA and respiration, lambda was computed with 10-s window. Using auto- and cross-correlation analyses, we found that overnight profiles of lambda and delta wave were related with significant cross-correlation coefficients and that periodicity of lambda was quite similar to that of delta wave. These results suggest that phase coupling analysis of RSA may provide a novel method to objectively predict SWS.</p>

Journal

Details 詳細情報について

  • CRID
    1390564238023478912
  • NII Article ID
    130007483858
  • DOI
    10.11239/jsmbe.annual56.s274
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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