HBP-net for robust remote heart rate estimation using heartbeat probability [PDF]
Summary: Remote photoplethysmography (rPPG) enables contactless heart rate monitoring but remains vulnerable to motion and lighting changes. We address this by reframing heart rate estimation as a heartbeat detection problem, bypassing the need to ...
Xiaolang Ye +6 more
doaj +2 more sources
Remote Heart Rate Estimation Based on Transformer with Multi-Skip Connection Decoder: Method and Evaluation in the Wild [PDF]
Heart rate is an essential vital sign to evaluate human health. Remote heart monitoring using cheaply available devices has become a necessity in the twenty-first century to prevent any unfortunate situation caused by the hectic pace of life.
Walaa Othman +4 more
doaj +2 more sources
Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography
With the rise of modern healthcare monitoring, heart rate (HR) estimation using remote photoplethysmography (rPPG) has gained attention for its non-contact, continuous tracking capabilities.
Chun-Chi Chen +2 more
doaj +3 more sources
Evaluating remote photoplethysmography: A 10-minute video dataset in uncontrolled lightingMendeley Data [PDF]
Remote photoplethysmography (rPPG) is a technique that enables the extraction of physiological parameters, such as heart rate, from video recordings in a completely non-contact manner.
Gonçalo Rodrigues, Nuno M. Garcia
doaj +2 more sources
The role of face regions in remote photoplethysmography for contactless heart rate monitoring [PDF]
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spurred
Maksym Bondarenko +2 more
doaj +2 more sources
Balancing cardiac privacy with quality in video recordings [PDF]
Background Remote photoplethysmography (rPPG) is a technique that extracts physiological signals, such as heart rate, from facial videos using standard Red-Green-Blue cameras.
Mohamed Elgendi +3 more
doaj +2 more sources
Demographic bias in public remote photoplethysmography datasets [PDF]
Remote photoplethysmography (rPPG) is gaining traction for non-contact heart rate estimation, yet most publicly available datasets are demographically biased.
Maksym Bondarenko +2 more
doaj +2 more sources
Background Wearable sensors offer a scalable alternative to cardiopulmonary exercise testing for assessing cardiorespiratory fitness, and there is growing evidence to support their use for remote VO2max estimation.
Aron B. Syversen +4 more
doaj +2 more sources
A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning [PDF]
With the widespread availability of consumer-grade cameras, interest in heart rate (HR) measurement using remote photoplethysmography (rPPG) has grown significantly.
Uday Debnath, Sungho Kim
doaj +2 more sources
Evaluation and analysis of image compression effect on neural network-based heart rate classification [PDF]
In this study, we evaluated and analyzed the effects of image compression on a neural network (NN)-based heart rate (HR) classification system. An NN-based HR-estimation system classifies facial images into groups of HR intervals.
Tianyu Dong +3 more
doaj +2 more sources

