Key result
LiPPG noncontact framework reduces heart rate estimation errors vs standard finger pulse oximetry.
Why the study?
Does the LiPPG noncontact heart rate monitoring framework reduce heart rate estimation errors compared to standard pulse oximetry under varying illuminance?
Does the LiPPG noncontact heart rate monitoring framework reduce heart rate estimation errors compared to standard pulse oximetry under varying illuminance?
The proposed LiPPG framework improves the robustness and accuracy of camera-based noncontact heart rate monitoring under varying illuminance conditions.
Hypothesis-generating for noncontact HR monitoring in variable light; larger validation needed before clinical consideration.
Noncontact heart rate monitoring that enables the detection of cardiac activity cycles with a normal camera without cutaneous contact has broad application prospects. However, the state-of-the-art approaches lack robustness to the lower illuminance and the varying illuminance. This paper builds an optical noncontact heart rate monitoring framework (lower/vary illumiance PPG, LiPPG) with the aim of improving the robustness of these illuminance situations. In LiPPG, we use the YIQ color space to represent the PPG signal. By applying the Savitzky-Golay filter, we propose a mathematical model, named, multiscale variable-weight Savitsky-Golay combination, to extract signals in the time domain and reduce the disturbance from noise. We test the LiPPG on three scenarios: stationary, facial motion, and varying illuminance, with 18 video clips from 6 participants. The experimental results show that the noncontact heart rate estimation using the LiPPG reduced the errors compared with the gold-standard method of recording from a finger using a pulse oximeter and that it is superior to existing methods.
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Bai et al. (2018) studied this question. LiPPG (lower/vary illuminance PPG) noncontact heart rate monitoring framework vs. Finger pulse oximeter and existing noncontact methods was evaluated on Heart rate estimation error. The LiPPG noncontact heart rate monitoring framework reduced estimation errors compared to a standard finger pulse oximeter across 18 video clips from 6 participants.
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