Key result
Contact-less mirror-based video monitoring achieves acceptable accuracy versus standard contact devices for assessing CV risk.
Why the study?
Conventional cardiovascular parameter measurement methods require skin contact devices that cause discomfort, and existing camera-based techniques are expensive and difficult for daily home use.
Does a contact-less video imaging system with fuzzy inference rules accurately measure vital parameters and predict cardiovascular risk compared to contact devices and clinician assessment?
Does a contact-less video imaging system with fuzzy inference rules accurately measure vital parameters and predict cardiovascular risk compared to contact devices and clinician assessment?
A novel contact-less, mirror-based video imaging system can estimate vital signs and assess cardiovascular risk with accuracy comparable to standard contact devices and clinicians.
May enable remote cardiovascular risk assessment; leaves open prospective validation before clinical use.
Conventional methods for measuring cardiovascular parameters use skin contact techniques requiring a measuring device to be worn by the user. To avoid discomfort of contact devices, camera-based techniques using photoplethysmography have been recently introduced. Nevertheless, these solutions are typically expensive and difficult to be used daily at home. In this work, we propose an innovative solution for monitoring cardiovascular parameters that is low cost and can be easily integrated within any common home environment. The proposed system is a contact-less device composed of a see-through mirror equipped with a camera that detects the person’s face and processes video frames using photoplethysmography in order to estimate the heart rate, the breath rate and the blood oxygen saturation. In addition, the color of lips is automatically detected via clustering-based color quantization. The estimated parameters are used to predict a risk of cardiovascular disease by means of fuzzy inference rules integrated in the mirror-based monitoring system. Comparing our system to a contact device in measuring vital parameters on still or slightly moving subjects, we achieve measurement errors that are within acceptable margins according to the literature. Moreover, in most cases, the response of the fuzzy rule-based system is comparable with that of the clinician in assessing a risk level of cardiovascular disease.
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Casalino et al. (2018) studied Cardiovascular disease risk. Contact-less mirror-based monitoring system using video imaging and fuzzy inference rules vs. Contact device was evaluated on Measurement errors of vital parameters and risk level assessment. A contact-less mirror-based monitoring system using video imaging achieved measurement errors within acceptable margins compared to a contact device for assessing cardiovascular risk.
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