Non-contact video-based heart rate and heart rate variability extraction from different body regions

Amra Alić, Behrudin Bajrić, Alma Hodžić, Osman Kamerić, Alen Bašić, Alma Šećerbegović


Cardiovascular diseases are among leading causes of mortality around the world. Long-term monitoring of different cardiac parameters could help in prevention of heart attack or detection of life-threatening arrhythmias. With modern technology development, cheap and accessible methods for different vital signs estimation have emerged. Video-based non-contact heart rate estimation has already been implemented in literature, usually based on individual’s face. In this paper, different body parts were used for estimation including forehead and palm. Heart rate and heart rate variability values were calculated based on photoplethysmography (PPG) signal, which was extracted from video recording. Video recordings were obtained by using professional camera where five individuals were filmed before and after mild exercise. As interframe compression methods degrade the quality of PPG signal, uncompressed video format was used. Separation of the observed signals was executed using Independent Component Analysis (ICA) method for obtaining red, green and blue components from acquired PPG signal. The validation of heart rate and heart rate variability was performed by using 12-channel electrocardiogram recording device. Our results demonstrate that non-contact method for heart rate and heart rate variability estimation shows sufficiently good results, assuming normal light conditions and minimal movement of the subject.
Keywords: photoplethysmography (PPG),heart rate, heart rate variability (HRV), independent component analysis (ICA)

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