• DocumentCode
    406899
  • Title

    Evaluation of body movement during sleep by thermopile using wavelet and neuro-fuzzy

  • Author

    Shin, J.W. ; Yoon, Y.R. ; Principe, Jose C.

  • Author_Institution
    Res. Inst. of Med. Instr. & Rehab. Eng., Yonsei Univ., South Korea
  • Volume
    3
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    2406
  • Abstract
    Body movement is one of the important factors in sleep analysis. Instant body movement signals were evaluated for the upper, lower, and entire part of the body from a combination of the eighth scale detail signals using the Haar wavelet. These signals show the points of time when the upper-body or lower-body movement occurred and the level of body movement. Additionally, partial body movement was decomposed to three parts of body movement comprising head-only, whole body, and leg-only movement using the ANFIS. After training data for 30 epochs, the three parts of the body movement data were acquired with minimized RMSE, 23.4, 12.1, and 20.8 respectively. Finally, three subject´s data were evaluated for 60 minutes, and the detection rates of instant and partial body movement, on average, were 96.3% and 89.2%, respectively.
  • Keywords
    Haar transforms; biomechanics; fuzzy neural nets; sleep; thermopiles; 60 min; Haar wavelet; body movement; eighth scale detail signals; instant body movement; lower-body movement; neuro-fuzzy; partial body movement; sleep; thermopile; upper-body movement; Frequency; Infrared detectors; Infrared sensors; Motion measurement; Pulse width modulation; Pulse width modulation converters; Sensor systems; Sleep; Temperature sensors; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1280401
  • Filename
    1280401