Name
Abstract | ||
|---|---|---|
Heart Rate Variability (HRV) is an indicator of health status in the general population and of adaptation to stress in athletes. In this paper we compare the performance of two systems to measure HRV: (1) A commercial system based on recording the physiological cardiac signal with (2) A computer vision system that uses a standard video images of the face to estimate RR from changes in skin color of the face. We show that the computer vision system performs surprisingly well. It estimates individual RR intervals in a non-invasive manner and with error levels comparable to those achieved by the physiological based system. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6347275 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
cardiology,physiology,sport,skin,computer vision,face recognition | Computer vision,Athletes,Population,Facial recognition system,Computer science,Heart rate variability,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 1 |
PageRank | References | Authors |
0.64 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lluis Capdevila | 1 | 1 | 0.64 |
| Jordi Moreno | 2 | 1 | 0.64 |
| javier r movellan | 3 | 1 | 0.64 |
| Eva Parrado | 4 | 3 | 1.03 |
| Juan Ramos-Castro | 5 | 15 | 2.05 |