Why the study?
Methods extracting instantaneous heart rate from conventional face video require an illumination source, whereas infrared cameras may avoid light condition constraints.
Does non-contact photoplethysmogram from infrared face video accurately estimate instantaneous heart rate compared to ECG in healthy volunteers?
Does non-contact photoplethysmogram from infrared face video accurately estimate instantaneous heart rate compared to ECG in healthy volunteers?
Infrared face video combined with spatiotemporal analysis can accurately estimate instantaneous heart rate in stationary subjects, offering a promising alternative for non-contact monitoring in low-light conditions.
May enable non-contact iHR monitoring in stationary subjects; leaves open validation in patients and motion conditions.
Extracting the instantaneous heart rate (iHR) from face videos has been well studied in recent years. It is well known that changes in skin color due to blood flow can be captured using conventional cameras. One of the main limitations of methods that rely on this principle is the need of an illumination source. Moreover, they have to be able to operate under different light conditions. One way to avoid these constraints is using infrared cameras, allowing the monitoring of iHR under low light conditions. In this work, we present a simple, principled signal extraction method that recovers the iHR from infrared face videos. We tested the procedure on 7 participants, for whom we recorded an electrocardiogram simultaneously with their infrared face video. We checked that the recovered signal matched the ground truth iHR, showing that infrared is a promising alternative to conventional video imaging for heart rate monitoring, especially in low light conditions. Code is available at https://github.com/natalialmg/IR_iHR
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Martínez et al. (2019) studied this question.
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