Unrestrictive Decubitus Estimation System with High-Sensitivity Pressure Sensor

Keita Nishio (), Takashi Kaburagi (), Satoshi Kumagai (), Toshiyuki Matsumoto () and Yosuke Kurihara ()
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Keita Nishio: Aoyama Gakuin University
Takashi Kaburagi: Aoyama Gakuin University
Satoshi Kumagai: Aoyama Gakuin University
Toshiyuki Matsumoto: Aoyama Gakuin University
Yosuke Kurihara: Aoyama Gakuin University

No 8110291, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: Estimation decubitus during sleep is essential to prevent the bedsore. However, utilizing wrist-worn device to monitor the decubitus during sleep required to attach the device for whole night. Hence, this research proposes an unrestrictive decubitus estimation system with high-sensitivity pressure sensors. In the proposed system, a high-sensitivity pressure sensor is placed under a bed mattress. The signal from the pressure sensor is processed by a three band pass filters (BFPs) with cut off frequencies 0.16 ? 0.8 Hz, 0.8 ? 16 Hz and 0.16 ? 16 Hz to measure respiration, pulse, and body movement respectively. In the case of prone position, since the heart is close to the sensor, peak frequency of pulse signal is low and the intensity is large. In the case of lateral position, the pressure sensor could not detect respiration because the movement of the diaphragm does not transfer to the mattress directly. Hence, the amplitude of respiration signal becomes small. In a supine position, both respiration and pulse signal are measured normally. Furthermore, since the movement signal is affected by the turning over, we do not apply the signal containing the turning over to the estimation of the decubitus. Based on above relationship between characteristics of these bio-signals and decubitus, we estimate each decubitus. In order to evaluate the validity of the proposed system, we carried out an experiment with five subjects. As the result, accuracy of the proposed method was at least 80%.

Keywords: bedsore; high-sensitivity pressure sensor; decubitus estimation; unrestrictive bio-signal sensing (search for similar items in EconPapers)
JEL-codes: I10 (search for similar items in EconPapers)
Pages: 1 page
Date: 2018-11
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Published in Proceedings of the Proceedings of the 44th International Academic Conference, Vienna, Nov 2018, pages 153-153

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