Abstract
In health care applications, an evolution of electronics has made drastic advancements. There are some problems created due to this advancement. To estimate the coronary heart rate, till date some problems have been confronted. To overcome these issues, remote photoplethysmography (RPPG) technology is used to determine the heart rate (HR) and respiratory rate (RR) by using normal web cameras, without any additional hardware. Here, a high resolution camera detects the face using a face detector by means of image processing techniques. Hardware part is only used to display the heart rate and respiratory rate using sensors. The performance analysis demonstrates the practicality of the patients. Experimental results of heart rate measurement show that the proposed dynamic ROI method for RIPPG can effectively improve the RIPPG signal quality, compared with the state-of-the-art ROI methods for RIPPG. Objective performance tests show strong correlation with the ground truth values for the estimated heart rate and variation.
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Karthick, R., Dawood, M.S. & Meenalochini, P. Analysis of vital signs using remote photoplethysmography (RPPG). J Ambient Intell Human Comput 14, 16729–16736 (2023). https://doi.org/10.1007/s12652-023-04683-w
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DOI: https://doi.org/10.1007/s12652-023-04683-w