Pulse rate variability analysis by video using face detection and tracking algorithms

Heart rate variability (HRV) is a physiological parameter which has increased its importance in recent years due to its relationship with the autonomic nervous system (ANS) and cardiovascular disorders. In this work the pulse rate variability (PRV) is measured as a surrogate measurement of HRV using...

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Bibliographic Details
Published in:2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2015; pp. 5696 - 5699
Main Authors: Melchor Rodriguez, A., Ramos Castro, J.
Format: Conference Proceeding Journal Article
Language:English
Published: United States IEEE 01.08.2015
Subjects:
Algorithm design and analysis
Algorithms
Autonomic Nervous System
Biomedical measurement
Correlation
Face
Face detection
Heart Rate
Heart rate variability
Humans
Photoplethysmography
Synchronization
ISSN:1094-687X, 1557-170X, 2694-0604, 2694-0604
Online Access:Get full text
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Summary:Heart rate variability (HRV) is a physiological parameter which has increased its importance in recent years due to its relationship with the autonomic nervous system (ANS) and cardiovascular disorders. In this work the pulse rate variability (PRV) is measured as a surrogate measurement of HRV using only a video of the face of the subject. Because of pulse rate signals obtained by video are largely affected by the person movements and the analyzed region of interest (ROI), we propose the application of face detection and tracking algorithms as a solution to the artifacts produced by these factors. We compare the obtained results of the proposed method with a pulse sensor signal of a reference system. The statistical analysis results show good agreement between both methods.
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ISSN:1094-687X
1557-170X
2694-0604
2694-0604
DOI:10.1109/EMBC.2015.7319685