Results 31 to 40 of about 2,649 (198)

Non-contact heart rate estimation based on singular spectrum component reconstruction using low-rank matrix and autocorrelation.

open access: yesPLoS ONE, 2022
The remote photoplethysmography (rPPG) based on cameras, a technology for extracting pulse wave from videos, has been proved to be an effective heart rate (HR) monitoring method and has great potential in many fields; such as health monitoring.
Weibo Wang   +4 more
doaj   +1 more source

Addiction à l'alcool, objet concret et régulation des éprouvés internes [PDF]

open access: yes, 2004
International audienceClinical work with alcoholics led us to examine intra-psychic tensions that existed prior to alcoholism and to foresee using them as a strategy for controlling—external, specific, and illusory—their “indescribable” internal feelings.
Gimenez, Guy   +2 more
core   +4 more sources

Heart Rate Measurement Based on 3D Central Difference Convolution with Attention Mechanism

open access: yesSensors, 2022
Remote photoplethysmography (rPPG) is a video-based non-contact heart rate measurement technology. It is a fact that most existing rPPG methods fail to deal with the spatiotemporal features of the video, which is significant for the extraction of the ...
Xinhua Liu   +3 more
doaj   +1 more source

Continuous transport of Pacific-derived anthropogenic radionuclides towards the Indian Ocean [PDF]

open access: yes, 2017
Unusually high concentrations of americium and plutonium have been observed in a sediment core collected from the eastern Lombok Basin between Sumba and Sumbawa Islands in the Indonesian Archipelago.
Fifield, L. Keith   +6 more
core   +1 more source

DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach

open access: yesBioengineering
Remote photoplethysmography (rPPG) is an emerging non-contact method for monitoring cardiovascular health based on facial videos. The quality of the captured videos largely determines the efficacy of rPPG in this application. Traditional rPPG techniques,
Shutao Chen   +4 more
doaj   +1 more source

Optimizing Remote Photoplethysmography Using Adaptive Skin Segmentation for Real-Time Heart Rate Monitoring

open access: yesIEEE Access, 2019
Choosing a proper Region of Interest (ROI) for Remote Photoplethysmography (rPPG) is essential and a challenging first step, and it has a direct effect on the accuracy and reliability of the overall heart rate (HR) algorithm.
R. M. Fouad   +2 more
doaj   +1 more source

Video pulse rate variability analysis in stationary and motion conditions [PDF]

open access: yes, 2018
Background: In the last few years, some studies have measured heart rate (HR) or heart rate variability (HRV) parameters using a video camera. This technique focuses on the measurement of the small changes in skin colour caused by blood perfusion.
Melchor Rodríguez, Angel   +1 more
core   +3 more sources

On Using rPPG Signals for DeepFake Detection: A Cautionary Note

open access: yes, 2023
An experimental analysis is proposed concerning the use of physiological signals, specifically remote Photoplethysmography (rPPG), as a potential means for detecting Deepfakes (DF). The study investigates the effects of different variables, such as video compression and face swap quality, on rPPG information extracted from both original and forged ...
D'Amelio A.   +6 more
openaire   +2 more sources

The use of Fluorescence Resonance Energy Transfer (FRET) peptidesfor measurement of clinically important proteolytic enzymes [PDF]

open access: yes, 2009
Proteolytic enzymes have a fundamental role in many biological processes and are associated with multiple pathological conditions. Therefore, targeting these enzymes may be important for a better understanding of their function and development of ...
Carmona, Adriana Karaoglanovic   +2 more
core   +3 more sources

Contactless facial video recording with deep learning models for the detection of atrial fibrillation

open access: yesScientific Reports, 2022
Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (DCNN)
Yu Sun   +6 more
doaj   +1 more source

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