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The Motion Artifact Reduction in Photoplethysmography Using Independent Component Analysis  

김경하 (연세대학 의학공학교실)
유선국 (연세대학 의학공학교실)
김병수 (연세대학 의학공학교실)
김남현 (연세대학 의학공학교실)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.52, no.10, 2003 , pp. 598-605 More about this Journal
Abstract
In this paper, we propose the method that separates PPG signal and motion artifact signal from two input signals using new independent component analysis algorithm in time domain. In order to eliminate the large level artifact efficiently, block interleaving. lowpass time filtering and innovation processing technique were applied in ICA preprocessing, and FastICA algorithm were applicable. Experiments are made with the numerical simulation and the real PPG signal including four kinds of motion artifact pattern. Our results show that ICA can effectively detect, separate and remove motion artifact in input signals. Then from the separated signals we restore the original PPG signal and propose a new method which computes SpO$_2$ using ICA mixing matrix.
Keywords
Photoplethysmography; Indepedent Component Analysis; motion artifact reduction;
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