Research Article
Comparison of Blind Source Separation Algorithms for Optical Heart Rate Monitoring
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257248, author={Eirini Christinaki and Giorgos Giannakakis and Franco Chiarugi and Matthew Pediaditis and Galateia Iatraki and Dimitris Manousos and Kostas Marias and Manolis Tsiknakis}, title={Comparison of Blind Source Separation Algorithms for Optical Heart Rate Monitoring}, proceedings={Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies}, publisher={IEEE}, proceedings_a={APHS}, year={2014}, month={12}, keywords={blood volume pulse (bvp) heart rate (hr) photoplethysmography (ppg) independent component analysis (ica) blind source separation (bss) remote sensing}, doi={10.4108/icst.mobihealth.2014.257248} }- Eirini Christinaki
Giorgos Giannakakis
Franco Chiarugi
Matthew Pediaditis
Galateia Iatraki
Dimitris Manousos
Kostas Marias
Manolis Tsiknakis
Year: 2014
Comparison of Blind Source Separation Algorithms for Optical Heart Rate Monitoring
APHS
ICST
DOI: 10.4108/icst.mobihealth.2014.257248
Abstract
Monitoring of physiological signals of an individual via remote and contactless means is an important scientific challenge, whose resolution will enable the development of novel, non-intrusive mHealth and wellness-management systems and services. In this paper, the performance of three blind source separation algorithms for the optical estimation of the heart rate have been studied. The objective is to perform a comparative evaluation of their accuracy and convergence capability, for the optical estimation of the heart rate.
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