Development of a system for capturing sleep predictor signals during wakefulness

E. Fujita, Y. Ogura, N. Ochiai, K. Murata, Tsutomu Kamei, Y. Ueno, Shigehiko Kaneko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The feature of sleep pattern is determined by the rhythm of body temperature. 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.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages1804-1807
Number of pages4
Edition4
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 2009 Sep 72009 Sep 12

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period09/9/709/9/12

Fingerprint

Chaos theory
Time series
Temperature
Sleep

Keywords

  • Body temperature
  • Chaos analysis
  • Finger plethysmogram
  • Peripheral circulatory system
  • Sleep predictor signals

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Cite this

Fujita, E., Ogura, Y., Ochiai, N., Murata, K., Kamei, T., Ueno, Y., & Kaneko, S. (2009). Development of a system for capturing sleep predictor signals during wakefulness. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., pp. 1804-1807). (IFMBE Proceedings; Vol. 25, No. 4). https://doi.org/10.1007/978-3-642-03882-2-479

Development of a system for capturing sleep predictor signals during wakefulness. / Fujita, E.; Ogura, Y.; Ochiai, N.; Murata, K.; Kamei, Tsutomu; Ueno, Y.; Kaneko, Shigehiko.

World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. ed. 2009. p. 1804-1807 (IFMBE Proceedings; Vol. 25, No. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fujita, E, Ogura, Y, Ochiai, N, Murata, K, Kamei, T, Ueno, Y & Kaneko, S 2009, Development of a system for capturing sleep predictor signals during wakefulness. in World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 edn, IFMBE Proceedings, no. 4, vol. 25, pp. 1804-1807, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 09/9/7. https://doi.org/10.1007/978-3-642-03882-2-479
Fujita E, Ogura Y, Ochiai N, Murata K, Kamei T, Ueno Y et al. Development of a system for capturing sleep predictor signals during wakefulness. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4 ed. 2009. p. 1804-1807. (IFMBE Proceedings; 4). https://doi.org/10.1007/978-3-642-03882-2-479
Fujita, E. ; Ogura, Y. ; Ochiai, N. ; Murata, K. ; Kamei, Tsutomu ; Ueno, Y. ; Kaneko, Shigehiko. / Development of a system for capturing sleep predictor signals during wakefulness. World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. ed. 2009. pp. 1804-1807 (IFMBE Proceedings; 4).
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