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
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