Presentation 2014-05-30
Optimization of Adaptive Filter Parameters in PPG-Based Motion Artifact Cancellation for Heart Rate Sensing
Takunori SHIMAZAKI, Shinsuke HARA,
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Abstract(in English) Photoplethysmography (PPG)-based heart rate (HR) sensing during exercise is essential not only for early detecting hazardous health condition but also for controlling training menu effectively according to athlete's physical condition. However, it is difficult to sense HR especially during vigorous exercise, because the PPG signal is contaminated with motion artifact noise. In our previous work, by using a PPG sensor and a motion artifact sensor, by means of an adaptive signal processing algorithm, we successfully canceled the motion artifact out of the PPG signal. To improve the accuracy of the PPG-based HR sensing, it is important to examine the location relationship between the PPG sensor and the motion artifact sensor. In this paper, for fast walking, running and jumping, we try to optimize the distance and heights of the sensors to be able to more accurately sense the heart rate.
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Keyword(in English) photoplethysmography / heart rate sensing / motion artifact / cancellation / Adaptive Filter
Paper # RCC2014-14,MICT2014-14
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Committee RCC
Conference Date 2014/5/22(1days)
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Registration To Reliable Communication and Control (RCC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Optimization of Adaptive Filter Parameters in PPG-Based Motion Artifact Cancellation for Heart Rate Sensing
Sub Title (in English)
Keyword(1) photoplethysmography
Keyword(2) heart rate sensing
Keyword(3) motion artifact
Keyword(4) cancellation
Keyword(5) Adaptive Filter
1st Author's Name Takunori SHIMAZAKI
1st Author's Affiliation Graduate School of Engineering, Osaka City University()
2nd Author's Name Shinsuke HARA
2nd Author's Affiliation Graduate School of Engineering, Osaka City University
Date 2014-05-30
Paper # RCC2014-14,MICT2014-14
Volume (vol) vol.114
Number (no) 60
Page pp.pp.-
#Pages 4
Date of Issue