Research Article
Vision-Based Remote Heart Rate Variability Monitoring Using Camera
@INPROCEEDINGS{10.1007/978-3-319-76213-5_2, author={Hamidur Rahman and Mobyen Ahmed and Shahina Begum}, title={Vision-Based Remote Heart Rate Variability Monitoring Using Camera}, proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings}, proceedings_a={HEALTHYIOT}, year={2018}, month={2}, keywords={Physiological signals Heart rate Inter-beat-interval Heart-rate-variability Non-contact Remote monitoring}, doi={10.1007/978-3-319-76213-5_2} }- Hamidur Rahman
Mobyen Ahmed
Shahina Begum
Year: 2018
Vision-Based Remote Heart Rate Variability Monitoring Using Camera
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-76213-5_2
Abstract
Heart Rate Variability (HRV) is one of the important physiological parameter which is used to early detect many fatal disease. In this paper a non-contact remote Heart Rate Variability (HRV) monitoring system is developed using the facial video based on color variation of facial skin caused by cardiac pulse. The lab color space of the facial video is used to extract color values of skin and signal processing algorithms i.e., Fast Fourier Transform (FFT), Independent Component Analysis (ICA), Principle Component Analysis (PCA) are applied to monitor HRV. First, R peak is detected from the color variation of skin and then Inter-Beat-Interval (IBI) is calculated for every consecutive R-R peak. HRV features are then calculated based on IBI both in time and frequency domain. MySQL and PHP programming language is used to store, monitor and display HRV parameters remotely. In this study, HRV is quantified and compared with a reference measurement where a high degree of similarities is achieved. This technology has significant potential for advancing personal health care especially for telemedicine.