Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies

Research Article

Comparison of Blind Source Separation Algorithms for Optical Heart Rate Monitoring

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  • @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
Eirini Christinaki1, Giorgos Giannakakis1, Franco Chiarugi1,*, Matthew Pediaditis1, Galateia Iatraki1, Dimitris Manousos1, Kostas Marias1, Manolis Tsiknakis1
  • 1: Computational Medicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas
*Contact email: chiarugi@ics.forth.gr

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.