Paper
5 February 2025 Hybrid approach to heart rate estimation: comparing Green, CHROM and POS methods in rPPG analysis
Author Affiliations +
Proceedings Volume 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025; 135100F (2025) https://doi.org/10.1117/12.3057502
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2025, 2025, Douliu City, Taiwan
Abstract
Remote Photoplethysmography (rPPG) offers a promising non-invasive solution for vital sign monitoring, including blood pressure (BP) estimation, by extracting cardiovascular information from facial videos. This study presents a hybrid approach to BP estimation by comparing three widely used methods in rPPG analysis: the green channel method, CHROM (Chrominance-based method), and POS (Plane-Orthogonal-to-Skin method). The Green method relies solely on the intensity of the green light reflected from the skin, while it works better than Red and Green, but it is highly depended to skin tone and ambient light. At the same time, CHROM and POS exploit multi-channel color signals to enhance signal extraction under varying lighting conditions. We compare these methods' performance in signal quality, noise resilience, and their effectiveness in estimating blood pressure. Our results demonstrate that the hybrid combination of CHROM and POS methods yields improved accuracy by obtaining the MAE of 8.7bpm, and robustness over traditional single-channel approaches. This provides a step forward in practical, non-invasive BP estimation for healthcare applications. This comparative analysis highlights the strengths and limitations of each method, offering insights into their applicability in real-world scenarios.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Danyal Shahmirzadi, Amir Masoud Rahmani, and Wen-Fong Wang "Hybrid approach to heart rate estimation: comparing Green, CHROM and POS methods in rPPG analysis", Proc. SPIE 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025, 135100F (5 February 2025); https://doi.org/10.1117/12.3057502
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KEYWORDS
Heart

Video

Skin

Light sources and illumination

Video processing

Data acquisition

Photoplethysmography

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