Development of a technique for capturing sleep Predictor signals during wakefulness

E. Fujita, Y. Ogura, N. Ochiai, K. Murata*, T. Kamei, Y. Ueno, S. Kaneko


研究成果: Article査読


The feature of sleep pattern is determined by the circadian rhythm that is typified by the rhythm of body temperature and homeostasis. In this study, a method was conceived for capturing changes in the peripheral circulatory system during the process of lowering of core body temperature via finger plethysmogram. Recorded signals were then analyzed by chaos analysis. By analyzing the variations in the time series of the gradients of the largest Lyapunov exponent and the power value (the square of the finger plethysmogram amplitude), and by observing the conditions of the subject, the phenomenon that predicts the subject's transition to Stage 1 sleep during wakefulness was detected. These predictive signals for falling asleep can be found when the amplitude of the power gradient was in transition, and when the largest Lyapunov exponent's gradient and the power gradient have an inverse phase with 180 degrees.

ジャーナルJournal of Optoelectronics and Advanced Materials
出版ステータスPublished - 2008 5月

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 原子分子物理学および光学
  • 凝縮系物理学
  • 電子工学および電気工学


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