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Proceedings Paper

YURAGI: analysis for detecting heart-rate by mat-type sensor in bed
Author(s): Yutaka Hata; Kiyotaka Ho; Kei Kuramoto; Syoji Kobashi; Naoki Tsuchiya; Hiroshi Nakajima
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Paper Abstract

This paper discusses a data analysis by YURAGI for a heart rate non-constraining monitoring system Three signals are employed: primary signal is obtained by a mat-type sensor, which is placed between a bed and subject, the second one is obtained by an ultrasonic vibration senor attached to bed frame, and third one is Gaussian noise. We compare the results from the synthesized data of the first and second signals with those of first signal and the noise. We employ weighted sum as the synthesized method. We consider Gaussian noise as YURAGI. The extraction algorithm was developed based on fuzzy logic. The comparison was done on 10 healthy volunteers and we evaluated the accuracy for various weight ratio. Here, we must concern the accuracy because the tiny accuracy difference causes large difference in the autonomic nerve system assessment. As the result, the results obtained from both synthesized signals were superior to that from mat-type sensor signal only. Thus, YURAGI analysis is useful to for detecting heart rate by mat-type sensor.

Paper Details

Date Published: 3 June 2011
PDF: 9 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580Y (3 June 2011); doi: 10.1117/12.883339
Show Author Affiliations
Yutaka Hata, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)
Kiyotaka Ho, Univ. of Hyogo (Japan)
Kei Kuramoto, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)
Syoji Kobashi, Univ. of Hyogo (Japan)
Osaka Univ. (Japan)
Naoki Tsuchiya, OMRON Corp. (Japan)
Hiroshi Nakajima, OMRON Corp. (Japan)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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