Results 1 to 10 of about 658 (108)

MPU-rPPG: A Comprehensive and High-Fidelity Dataset for Remote Photoplethysmography Across Diverse Conditions and Demographics [PDF]

open access: yesScientific Data
Remote photoplethysmography (rPPG) is a non-contact singal extracting photoplethysmographic (PPG) waveforms from video by analyzing blood-volume-induced modulations in the light reflected from the skin.
Zhengxuan Chen   +6 more
doaj   +2 more sources

Remote photoplethysmography for health assessment: a review informed by IntelliProve technology [PDF]

open access: yesFrontiers in Digital Health
BackgroundRemote photoplethysmography (rPPG) is a non-invasive method that accurately measures clinical biomarkers, including heart rate, respiration rate, heart rate variability, blood pressure and oxygen saturation.
Alora Brown   +4 more
doaj   +2 more sources

High-Fidelity rPPG Waveform Reconstruction from Palm Videos Using GANs [PDF]

open access: yesSensors
Remote photoplethysmography (rPPG) enables non-contact acquisition of human physiological parameters using ordinary cameras, and has been widely applied in medical monitoring, human–computer interaction, and health management.
Tao Li, Yuliang Liu
doaj   +2 more sources

Frequency-Preserving Readout Design and Error Characterization for CWT-Based rPPG Heart-Rate Estimation [PDF]

open access: yesSensors
Remote photoplethysmography (rPPG) estimates heart rate (HR) from facial color variations. In continuous wavelet transform (CWT) scalograms, HR is represented by position along the frequency axis, whereas global average pooling (GAP) does not retain this
Kota Toyama   +2 more
doaj   +2 more sources

rePPG: Relighting Photoplethysmography Signal to Video [PDF]

open access: yesBiomimetics
Remote photoplethysmography (rPPG) extracts physiological signals from facial videos by analyzing subtle skin color variations caused by blood flow. While this technology enables contactless health monitoring, it also raises privacy concerns because ...
Seunghyun Kim   +3 more
doaj   +2 more sources

Remote Photoplethysmography Using Triple-Head Spatio-Temporal Transformer with Reaction-Driven Gating and Illumination Separation [PDF]

open access: yesSensors
Remote Photoplethysmography (rPPG) provides a non-contact alternative to traditional heart rate monitoring. Estimating physiological signals from facial videos has recently attracted significant research interest.
Ahmed Mehrez   +2 more
doaj   +2 more sources

Clinical Validation of rPPG-Enabled Contactless Pulse Rate Monitoring Software in Cardiovascular Disease Patients [PDF]

open access: yesBioengineering
Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide, creating demand for continuous, unobtrusive monitoring solutions. This clinical validation evaluates the accuracy of remote photoplethysmography (rPPG), a contactless ...
Jing Wei Chin   +7 more
doaj   +2 more sources

Measurement of heart rate and respiratory rate using remote photoplethysmography in paediatrics: a prospective comparative trial protocol – ‘rMonitoped1’ [PDF]

open access: yesBMJ Open
Introduction Vital signs such as heart rate (HR) and respiratory rate (RR), crucial for clinical assessment, are often challenging to measure in paediatric populations.
Laurent Boyer   +6 more
doaj   +2 more sources

Lighting effects on optimal facial regions for remote heart rate measurement [PDF]

open access: yesnpj Cardiovascular Health
Remote photoplethysmography (rPPG) can evaluate real-time changes in blood flow volume by capturing facial videos and analyzing the color changes. Although the rPPG technique enables contactless heart rate (HR) monitoring, it remains highly susceptible ...
Shuo Li   +4 more
doaj   +2 more sources

The reliability of remote photoplethysmography under low illumination and elevated heart rates [PDF]

open access: yesnpj Digital Medicine
Remote photoplethysmography (rPPG) offers a non-invasive means of estimating heart rate in telemedicine settings. Yet its reliability remains uncertain due to the limited diversity and ecological validity of existing benchmark datasets.
Bhargav Acharya   +3 more
doaj   +2 more sources

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