A robust heart rate measurement framework based on videos

Bowei Dong; Yuliang Liu; Xinwei Wang

doi:10.1117/12.3018792

30 April 2024 A robust heart rate measurement framework based on videos

Bowei Dong, Yuliang Liu, Xinwei Wang

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131561D (2024) https://doi.org/10.1117/12.3018792
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Human physiological parameters such as heart rate (HR) and heart rate variability (HRV) hold significant importance in health analysis and disease diagnosis. Traditional measurement methods heavily depend on contact sensors, which are inconvenient and uncomfortable for subjects. In contrast, video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact physiological measurement. However, its utility is compromised by susceptibility to motion artifacts and lighting. In response to the challenges posed by motion artifacts and lighting, we propose a robust rPPG framework. This paper assesses the noise robustness of diverse methods employed in rPPG-based physiological measurement, including face detection and tracking, region of interest (ROI) selection, rPPG signal extraction and heart rate calculation. The experimental results demonstrate the efficacy of the proposed framework in enhancing pre-processing outcomes and facilitating accurate heart rate measurements, even during dynamic motion tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bowei Dong, Yuliang Liu, and Xinwei Wang "A robust heart rate measurement framework based on videos", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131561D (30 April 2024); https://doi.org/10.1117/12.3018792

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