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Reseach Article

A Noncontact Technique to Measure HRV

by P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 1
Year of Publication: 2016
Authors: P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa
10.5120/ijais2016451570

P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa . A Noncontact Technique to Measure HRV. International Journal of Applied Information Systems. 11, 1 ( Jun 2016), 40-43. DOI=10.5120/ijais2016451570

@article{ 10.5120/ijais2016451570,
author = { P. H. De B. Souza, J. O. Ferreira, A. F. Rocha, T. M. Barbosa },
title = { A Noncontact Technique to Measure HRV },
journal = { International Journal of Applied Information Systems },
issue_date = { Jun 2016 },
volume = { 11 },
number = { 1 },
month = { Jun },
year = { 2016 },
issn = { 2249-0868 },
pages = { 40-43 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number1/904-2016451570/ },
doi = { 10.5120/ijais2016451570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:43.443786+05:30
%A P. H. De B. Souza
%A J. O. Ferreira
%A A. F. Rocha
%A T. M. Barbosa
%T A Noncontact Technique to Measure HRV
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 1
%P 40-43
%D 2016
%I Foundation of Computer Science (FCS), NY, 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).

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Index Terms

Computer Science
Information Sciences

Keywords

Noncontact technique heart rate HRV camera.