10 March 2016 Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring
Author Affiliations +
Proceedings Volume 9701, Multimodal Biomedical Imaging XI; 970111 (2016) https://doi.org/10.1117/12.2213532
Event: SPIE BiOS, 2016, San Francisco, California, United States
Traditional photoplethysmographic imaging (PPGI) systems use the red, green, and blue (RGB) broadband measurements of a consumer digital camera to remotely estimate a patients heart rate; however, these broadband RGB signals are often corrupted by ambient noise, making the extraction of subtle fluctuations indicative of heart rate difficult. Therefore, the use of narrow-band spectral measurements can significantly improve the accuracy. We propose a novel digital spectral demultiplexing (DSD) method to infer narrow-band spectral information from acquired broadband RGB measurements in order to estimate heart rate via the computation of motion- compensated skin erythema fluctuation. Using high-resolution video recordings of human participants, multiple measurement locations are automatically identified on the cheeks of an individual, and motion-compensated broadband reflectance measurements are acquired at each measurement location over time via measurement location tracking. The motion-compensated broadband reflectance measurements are spectrally demultiplexed using a non-linear inverse model based on the spectral sensitivity of the camera's detector. A PPG signal is then computed from the demultiplexed narrow-band spectral information via skin erythema fluctuation analysis, with improved signal-to-noise ratio allowing for reliable remote heart rate measurements. To assess the effectiveness of the proposed system, a set of experiments involving human motion in a front-facing position were performed under ambient lighting conditions. Experimental results indicate that the proposed system achieves robust and accurate heart rate measurements and can provide additional information about the participant beyond the capabilities of traditional PPGI methods.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason Deglint, Jason Deglint, Audrey G. Chung, Audrey G. Chung, Brendan Chwyl, Brendan Chwyl, Robert Amelard, Robert Amelard, Farnoud Kazemzadeh, Farnoud Kazemzadeh, Xiao Yu Wang, Xiao Yu Wang, David A. Clausi, David A. Clausi, Alexander Wong, Alexander Wong, } "Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring", Proc. SPIE 9701, Multimodal Biomedical Imaging XI, 970111 (10 March 2016); doi: 10.1117/12.2213532; https://doi.org/10.1117/12.2213532

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