"

Cookies ussage consent

Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.

I agree, do not show this message again.

Development of a technique for capturing Sleep Predictor Signals during wakefulness

E. FUJITA1, Y. OGURA1, N. OCHIAI1, K. MURATA2,* , T. KAMEI2, Y. UENO3, S. KANEKO4

Affiliation

  1. Deltatooling Co., Ltd., 3-1 Taguchi-kenkyu-danchi, Higashi-hiroshima-shi, 739-0038 Hiroshima, Japan
  2. Shimane Institute of Health Science, 223-7 Enya-cho, Izumo-shi, 693-0021 Shimane, Japan; Kanazawa University Graduate School of Medical Science, 13-1 Takaramachi, Kanazawa-shi, 920-0934 Ishikawa, Jap
  3. Faculty of Engineering, Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino-shi, 275-0016 Chiba, Japan
  4. School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, 113-8656 Tokyo, Japan

Abstract

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..

Keywords

Sleep Prediction Signal, Sleep pattern, Circadian rhythm.

Submitted at: March 13, 2008
Accepted at: May 14, 2008

Citation

E. FUJITA, Y. OGURA, N. OCHIAI, K. MURATA, T. KAMEI, Y. UENO, S. KANEKO, Development of a technique for capturing Sleep Predictor Signals during wakefulness, Journal of Optoelectronics and Advanced Materials Vol. 10, Iss. 5, pp. 1251-1256 (2008)