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JACIII Vol.11 No.2 pp. 232-241
doi: 10.20965/jaciii.2007.p0232
(2007)

Paper:

Biological Rhythm Based Wearable Sleep State Observer

Yuki Wakuda*, Akiko Noda**, Yasuhisa Hasegawa***,
Fumihito Arai****, Toshio Fukuda*,
and Mitsuo Kawaguchi*****

*Dept. of Micro-Nano System Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8673, Japan

**School of Health Sciences, Nagoya University, 1-1-20 Daiko Minami, Higashi-ku, Nagoya 461-8603, Japan

***Dept. of Intelligent Interaction Technologies, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

****Dept. of Bioengineering and Robotics, Tohoku University, 6-6-01 Aoba, Aramaki, Aoba-ku, Sendai 980-8579, Japan

*****Daito ME Co., LTD., Tashiro Hon-dori 2-1, Chikusa-ku, Nagoya 464-8652, Japan

Received:
June 23, 2006
Accepted:
November 14, 2006
Published:
February 20, 2007
Keywords:
sleep disorders, pulse wave, sleep state scoring, biological rhythm
Abstract

This research aimed to observe human biological rhythm and adjust the human sleep wake pattern based on controlling wakeup timing using low stress system. An ordinary alarm clock operates according to preset time. Biological rhythm determines the human sleep cycle, which affects sleep depth and wakeup timing, which in turn resets the daily rhythm that affects human’s behavior, life-cycle pattern, life-style related disease. We developed a wearable biological rhythm based awakening controller (BRAC) that determines the biological rhythm in the sleep state (sleep cycle) and stimulates the user at a suitable time to enable the person to wakeup refreshed. The proposed system BRAC gauges human’s sleep quality and rhythms from peak to peak interval time of fingertip-pulse waves, that are measured more easily than polysomnography (PSG). In this paper, we detail the method of sleep cycle estimation using a wearable sensor device as the first feature of BRAC, then, in experiments, evaluate the performance of sleep cycle estimation based on a comparison of the BRAC-sleep cycle and the PSG-determined sleep stage.

Cite this article as:
Yuki Wakuda, Akiko Noda, Yasuhisa Hasegawa,
Fumihito Arai, Toshio Fukuda, and
and Mitsuo Kawaguchi, “Biological Rhythm Based Wearable Sleep State Observer,” J. Adv. Comput. Intell. Intell. Inform., Vol.11, No.2, pp. 232-241, 2007.
Data files:
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