Detection of Physiological Parameters without Any Physical Constraints in Bed Using Sequential Image Processing<sup>*</sup>

  • Nakajima Kazuki
    Department of Electrical and Electronic Engineering, Faculty of Engineering, Yamaguchi University, Tokiwadai, Ube, Yamaguchi 755, Japan
  • Osa Atsushi
    Department of Electrical and Electronic Engineering, Faculty of Engineering, Yamaguchi University, Tokiwadai, Ube, Yamaguchi 755, Japan
  • Kasaoka Shunji
    Critical Care Medical Center, Yamaguchi University Hospital, Kogushi, Ube, Yamaguchi 755, Japan
  • Nakashima Ken
    Critical Care Medical Center, Yamaguchi University Hospital, Kogushi, Ube, Yamaguchi 755, Japan
  • Maekawa Tsuyoshi
    Critical Care Medical Center, Yamaguchi University Hospital, Kogushi, Ube, Yamaguchi 755, Japan
  • Tamura Toshiyo
    Institute for Medical and Dental Engineering, Tokyo Medical and Dental University, 2–3–10 Kanda Surugadai, Chiyoda–ku, Tokyo 101, Japan
  • Miike Hidetoshi
    Department of Electrical and Electronic Engineering, Faculty of Engineering, Yamaguchi University, Tokiwadai, Ube, Yamaguchi 755, Japan

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タイトル別名
  • Detection of Physiological Parameters without Any Physical Constraints in Bed Using Sequential Image Processing.

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Physiological parameters, specifically, body movement and respiratory waveform, were observed utilizing an original image sequence processing system. In this study, sequential image processing methods were used to observe both patients with acute myocardial infarction and normal subjects in bed. The results of standard differential image processing and a gradient-based method were strongly correlated with body movement of the subject. Furthermore, the respiratory waveform was detected using the gradient-based method. This image sequence processing system appears very promising for the evaluation of physical activity without any physical constraints in bed.

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