Key result
Evaluation of three state-of-the-art remote photoplethysmography algorithms revealed that none are precise enough for real-world scenarios, showing high sensitivity to acquisition conditions.
Current state-of-the-art remote photoplethysmography algorithms lack the robustness and precision required for real-world heart rate monitoring when tested on independent datasets.
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Remote photoplethysmography algorithms lack real-world precision; leaves open the need for robust, condition-invariant methods before clinical testing.
Heusch et al. (2017) studied Healthy individuals (n=70). Remote photoplethysmography (rPPG) algorithms vs. Contact physiological sensors (EKG, BVP) was evaluated on Pearson's correlation coefficient and RMSE for heart rate estimation. Evaluation of three state-of-the-art remote photoplethysmography algorithms revealed that none are precise enough for real-world scenarios, showing high sensitivity to acquisition conditions.
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