A modified ICA framework for motion artifact removal in wrist-type photoplethysmography during exercise

Shreyas Mushrif, Aldo Morales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Removal of motion artifacts (MA) from wrist-type photoplethysmographic (PPG) signal recordings during exercise is a difficult problem, since the MA during exercise can be very strong. In this paper, a modified independent component analysis (ICA) algorithm to remove MA is proposed. The proposed algorithm relies on the negentropy scores of the linear combinations of the signal data to achieve maximum statistical independence. This algorithm was tested on PPG signals recorded during fast running. The results of the experiments reveal that this algorithm is robust to MA present in the PPG signals. The results of our algorithm are compared with the existing wavelet-decomposition method.

Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Consumer Electronics - 20th IEEE ISCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-114
Number of pages2
ISBN (Electronic)9781509015498
DOIs
StatePublished - Dec 23 2016
Event20th IEEE International Symposium on Consumer Electronics, ISCE 2016 - Sao Paulo, Brazil
Duration: Sep 28 2016Sep 30 2016

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other20th IEEE International Symposium on Consumer Electronics, ISCE 2016
CountryBrazil
CitySao Paulo
Period9/28/169/30/16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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