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A Noncontact Technique to Measure HRV

P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa. Published in Software Engineering

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa
10.5120/ijais2016451570
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  1. De P H B Souza, J O Ferreira, A F Rocha and T M Barbosa. A Noncontact Technique to Measure HRV. International Journal of Applied Information Systems 11(1):40-43, June 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451570,
    	author = "P. H. De B. Souza and J. O. Ferreira and A. F. Rocha and T. M. Barbosa",
    	title = "A Noncontact Technique to Measure HRV",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "June 2016",
    	volume = 11,
    	number = 1,
    	month = "Jun",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "40-43",
    	numpages = 4,
    	url = "http://www.ijais.org/archives/volume11/number1/904-2016451570",
    	doi = "10.5120/ijais2016451570",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

The heart rate and its variability, known as Heart Rate Variability (HRV), are indispensable measurements for cardiorespiratory monitoring, recognition and quantification of emotions, detection of abnormalities, and heart disease control. In general, the acquisition systems for heart rate and HRV require a contact area for sensor’s installation and positioning, creating restrictions and/or obstructions on user’s movements. This paper proposes a noninvasive and noncontact technique for heart rate and HRV acquisition using a single camera. This method consists in the automatic detection of the user’s face and utilization of an Independent Component Analysis (ICA) algorithm to separate the necessary signals to determine the heart rate and the HRV. The experiments have shown more than 80% of similarity between the results of the proposed heuristic in comparison to the results of the photoplethysmography sensor (PPG).

Reference

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Keywords

Noncontact technique, heart rate, HRV, camera.