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      Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths

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          Abstract

          Photoplethysmography (PPG) is an easy and convenient method by which to measure heart rate (HR). However, PPG signals that optically measure volumetric changes in blood are not robust to motion artifacts. In this paper, we develop a PPG measuring system based on multi-channel sensors with multiple wavelengths and propose a motion artifact reduction algorithm using independent component analysis (ICA). We also propose a truncated singular value decomposition for 12-channel PPG signals, which contain direction and depth information measured using the developed multi-channel PPG measurement system. The performance of the proposed method is evaluated against the R-peaks of an electrocardiogram in terms of sensitivity (Se), positive predictive value (PPV), and failed detection rate (FDR). The experimental results show that Se, PPV, and FDR were 99%, 99.55%, and 0.45% for walking, 96.28%, 99.24%, and 0.77% for fast walking, and 82.49%, 99.83%, and 0.17% for running, respectively. The evaluation shows that the proposed method is effective in reducing errors in HR estimation from PPG signals with motion artifacts in intensive motion situations such as fast walking and running.

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          Most cited references 25

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          Motion artifact reduction in photoplethysmography using independent component analysis.

           S. H. Kim,  I.-K. Yoo (2006)
          Removing the motion artifacts from measured photoplethysmography (PPG) signals is one of the important issues to be tackled for the accurate measurement of arterial oxygen saturation during movement. In this paper, the motion artifacts were reduced by exploiting the quasi-periodicity of the PPG signal and the independence between the PPG and the motion artifact signals. The combination of independent component analysis and block interleaving with low-pass filtering can reduce the motion artifacts under the condition of general dual-wavelength measurement. Experiments with synthetic and real data were performed to demonstrate the efficacy of the proposed algorithm.
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            Photophysical processes in recent medical laser developments: A review

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              A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                09 March 2020
                March 2020
                : 20
                : 5
                Affiliations
                [1 ]Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea; netlee@ 123456hanyang.ac.kr (J.L.); minseong5905@ 123456hanyang.ac.kr (M.K.)
                [2 ]Department of Family Medicine, Hanyang University, Seoul 04763, Korea
                Author notes
                [* ]Correspondence: hoonkp@ 123456hanyang.ac.kr (H.-K.P.); iykim@ 123456hanyang.ac.kr (I.Y.K.)
                [†]

                These authors contributed equally to this work.

                Article
                sensors-20-01493
                10.3390/s20051493
                7085621
                32182772
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

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