The week's pick
Random Articles
Reseach Article
A Noncontact Technique to Measure HRV
| 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
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).
References
- D. J. McDuff, S. Gontarek, and R. W. Picard, “Remote measurement of cognitive stress via heart rate variability.” Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. IEEE, 2014.
- M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in noncontact, multiparameter physiological measurements using a webcam,” Biomedical Engineering, IEEE Transactions on, vol. 58, no. 1, pp. 7–11, 2011.
- D. J. McDuff, S. Gontarek, J. Hernandez, and R. W. Picard. “COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera”. Media Lab, Massachusetts Institute of Technology, 2016.
- H. Halik e A. Johncamm. “Heart Rate Variability”. Futura Publishing Company, 1995.
- M. Malik. “Heart Rate Variability, Standards of Measurement, Physiological Interpretation, and Clinical Use.” Writing Committee of the Task Force, Department of Cardiological Sciences, St. George’s Hospital Medical School, Cranmer Terrace, London, U.K, 1996.
- P. H. F. Bacchini, E. C. Lopes, M. A. Barbosa, J. O. Ferreira, O. C. S. Neto, A. F. Rocha, and T. A. Barbosa. “Developing an Affective Point-of-Care Technology”. Symposium Series on Computational Intelligence (SSCI). IEEE, 2014.
- M. P. Tarvainen, P.O. Ranta-Aho, and P.A. Karjalainen, “An advanced detrending method with application to HRV analysis,” IEEE Trans. Biomed. Eng., vol. 49, no. 2, pp. 172–175, Feb. 2002.
- P. Comon, “Independent component analysis, a new concept?” Signal Process, vol.36, pp.287–314, 1994.
- D. Figueiredo e J. Silva. “Desvendando os Mistérios do Coeficiente de Correlação de Pearson.” V Seminário de Ciência Política e Relações Internacionais da Universidade Federal de Pernambuco. Revista Política Hoje, Vol. 18, n. 1, 2009.
- M. Estrada, A. Stowers, “Amplification of Heart Rate in Multi-Subject Videos”. [Online]. Available in: https://web.stanford.edu/class/ee368/Project_Spring_1415/Reports/Stowers_Estrada.pdf
Index Terms
Keywords