• DocumentCode
    3012433
  • Title

    Development of a condition monitoring system using an air-pack type pressure sensor for bedridden patients in a supine position

  • Author

    Hirano, Harutoyo ; Komatsu, Yosuke ; Kutluk, Abdugheni ; Kurita, Yuichi ; Kojima, S. ; Ogura, Yusuke ; Fujita, E. ; Nakamura, Ryosuke ; Saeki, Noboru ; Kawamoto, Masashi ; Yoshizumi, M. ; Tsuji, Takao

  • Author_Institution
    Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2012
  • fDate
    23-27 Sept. 2012
  • Firstpage
    1201
  • Lastpage
    1204
  • Abstract
    This paper proposes an online biological signal measurement system with an air-pack-type pressure sensor (APS) to monitor the condition of supine patients from pulse activity. The system enables estimation of three physiological signals corresponding to pulse pressure waves, pulse beats and respiratory waves from measurements taken and filtered using the APS, which has mechanical characteristics similar to the impedance characteristics of human muscle and can also be fitted with a mattress pad to prevent decubitus. In this study, the physiological significance of signals obtained through the APS was determined by comparing them with signals measured using commercial medical devices. The results showed that the correlations of pulse pressure waves, pulse beats and power spectral densities for respiratory waves between signals measured using the APS and those measured using commercial sensors were 0.84, 0.84 and 0.98, respectively. It was therefore concluded that the proposed system is suitable for outputting pulse pressure waves, pulse beats and respiratory waves.
  • Keywords
    biomedical equipment; biomedical measurement; condition monitoring; electrocardiography; gait analysis; injuries; measurement systems; neurophysiology; patient monitoring; pneumodynamics; pressure sensors; APS; air-pack type pressure sensor; bedridden patients; condition monitoring system development; decubitus prevention; human muscle impedance characteristics; mechanical characteristics; online biological signal measurement system; physiological signals; power spectral densities; pulse activity; pulse beats; pulse pressure waves; respiratory waves; supine position; Biology; Biomedical monitoring; IIR filters; Low pass filters; Monitoring; Pressure measurement; Pulse measurements; Air-pack sensor; Biological signal; Noninvasive monitoring; The cervical spinal cord injured;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-1019-2
  • Type

    conf

  • DOI
    10.1109/CMD.2012.6416377
  • Filename
    6416377