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Characterization and reduction of motion artifacts in photoplethysmographic signals from a wrist-worn device

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Author: Tauţan, A.M. · Young, A. · Wentink, E. · Wieringa, F.P.
Type:article
Date:2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source:37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, 25-29 August 2015, 6146-6149
Identifier: 531068
ISBN: 9781424492718
Article number: 7319795
Keywords: Electronics · High Tech Systems & Materials · Industrial Innovation · Nano Technology · OPT - Optics · TS - Technical Sciences

Abstract

Methods for analyzing various motion artifacts in photoplethysmography (PPG) signals, recorded by a wristworn device are reported. The analysis looks both at intrinsic PPG signal properties, through standard deviation, skew and kurtosis, but also at its relationship to five possible motion reference signals, through the correlation coefficient and mutual information. The investigated references include the X, Y, Z accelerometer axes, acceleration magnitude and a different wavelength PPG channel. The latter showed higher correlation to the input PPG signal during movement. A wavelet based motion artifact reduction algorithm is described. The algorithm improves the visibility of the heart rate (HR) components in the frequency domain representation of the signals.