Remote Heart Rate Estimation Based on Transformer with Multi-Skip Connection Decoder: Method and Evaluation in the Wild [PDF]
SensorsHeart 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
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HBP-net for robust remote heart rate estimation using heartbeat probability [PDF]
iScienceSummary: 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
Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography
SensorsWith 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
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Evaluating remote photoplethysmography: A 10-minute video dataset in uncontrolled lightingMendeley Data [PDF]
Data in BriefRemote 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]
npj Digital MedicineHeart 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
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Balancing cardiac privacy with quality in video recordings [PDF]
Communications MedicineBackground 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
BMC Digital HealthBackground 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
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Evaluation and analysis of image compression effect on neural network-based heart rate classification [PDF]
Scientific ReportsIn 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
TransPPG: Two-stream Transformer for Remote Heart Rate Estimate
CCF Transactions on Pervasive Computing and Interaction, 2023 Non-contact facial video-based heart rate estima- tion using remote photoplethysmography (rPPG) has shown great potential in many applications (e.g., remote health care) and achieved creditable results in constrained scenarios. However, practi- cal applications require results to be accurate even under complex environment with head movement and ...
Karan Singh +3 more
openaire +3 more sources
Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning
Archives of Acoustics, 2021 Measurement of vital signs of the human body such as heart rate, blood pressure, body temperature and respiratory rate is an important part of diagnosing medical conditions and these are usually measured using medical equipment. In this paper, we propose
Mohammed USMAN +8 more
doaj +1 more source