@inproceedings{a151f17a98f7419393f677a739bea8b6,
title = "A Wearable Photoplethysmographic System Realization with Efficient Motion Artifact Reduction Method Based on Recursive Least Squares Adaptive Filtering Algorithm",
abstract = "The appearances of Motion Artifacts (MAs) in the photoplethysmographic (PPG) signals is one of the major obstacles to improve the accuracy and the stability of the signals analysis. In this paper, we present an effective and adaptive method based on DC Remover method and Recursive Least Squares (RLS) adaptive filter for reducing MAs disturbances from PPG signals. The results achieved by the presented methodology show a high correlation coefficient between Electrocardiography derived heart rate and PPG-derived heart rate (R=0.8054), moreover, the accuracy of heart rate monitoring was improved. The proposed system was implemented in hardware design for wearable and home-care applications.",
keywords = "adaptive filter, DC Remover, Motion Artifact, Photoplethysmography, Recursive Least Squares filter",
author = "Chen, {I. Wei} and Wu, {Chih Chin} and Wai-Chi Fang",
year = "2018",
month = aug,
day = "27",
doi = "10.1109/ICCE-China.2018.8448495",
language = "English",
isbn = "9781538663011",
series = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018",
address = "United States",
note = "5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 ; Conference date: 19-05-2018 Through 21-05-2018",
}