@inproceedings{adfe0d6c1341401eaab8e969586420c1,
title = "A modified ICA framework for motion artifact removal in wrist-type photoplethysmography during exercise",
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.",
author = "Shreyas Mushrif and Aldo Morales",
year = "2016",
month = dec,
day = "23",
doi = "10.1109/ISCE.2016.7797396",
language = "English (US)",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "113--114",
booktitle = "2016 IEEE International Symposium on Consumer Electronics - 20th IEEE ISCE 2016",
address = "United States",
note = "20th IEEE International Symposium on Consumer Electronics, ISCE 2016 ; Conference date: 28-09-2016 Through 30-09-2016",
}