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2017 | OriginalPaper | Chapter

Progressive Motion Artifact Removal in PPG Signal for Accurate Heart Rate Estimation

Authors : Ji Hun An, Heemang Song, Hyun-Chool Shin

Published in: Advanced Multimedia and Ubiquitous Engineering

Publisher: Springer Singapore

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Abstract

This paper proposes a motion artifact (MA) removal method in the photoplethysmographic (PPG) signal for accurate heart rate estimation. PPG signal is easy to acquire, but it is easily distorted by body movement. In this study, MA is analyzed using acceleration signals and removed in the PPG spectrum for accurate heart rate estimation. The proposed method progressively removes three-axis acceleration spectra in order of spectral power. The performance was confirmed by comparing heart rate estimation errors one case that MA was removed with another case that MA was not removed. After removing MA and applying two peak tracking methods in 12 data sets, the mean absolute error (MAE) of the beat per minute (BPM) is lower than conventional methods.

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Metadata
Title
Progressive Motion Artifact Removal in PPG Signal for Accurate Heart Rate Estimation
Authors
Ji Hun An
Heemang Song
Hyun-Chool Shin
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Multimedia and Ubiquitous Engineering

Print ISBN: 978-981-10-5040-4

Electronic ISBN: 978-981-10-5041-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5041-1_92

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