Results 31 to 40 of about 8,735,065 (335)

Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner [PDF]

open access: yesEuropean Conference on Computer Vision, 2020
Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work.
Eugene Lee, E. Chen, Chen-Yi Lee
semanticscholar   +1 more source

Non-Contact Heart Rate Measurement Based on Adaptive Notch Filter and Elimination of Respiration Harmonics

open access: yesIEEE Access, 2023
Continuous-wave Doppler radar is an established method for non-contact heart rate estimation. The output signal of the Doppler radar includes the fundamental wave of a heartbeat, heartbeat harmonics, the fundamental wave of respiration, respiration ...
Moushumi Tazen   +2 more
doaj   +1 more source

RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation [PDF]

open access: yesIEEE Transactions on Image Processing, 2019
Heart rate (HR) is an important physiological signal that reflects the physical and emotional status of a person. Traditional HR measurements usually rely on contact monitors, which may cause inconvenience and discomfort. Recently, some methods have been
Xuesong Niu   +3 more
semanticscholar   +1 more source

In-Situ Fish Heart-Rate Estimation and Feeding Event Detection Using an Implantable Biologger

open access: yesIEEE Transactions on Mobile Computing, 2023
Monitoring of physiology and behavior of marine animals living undisturbed in their natural habitats can provide valuable information about their well-being and response to environmental stressors.
Yi-Ran Shen   +11 more
semanticscholar   +1 more source

Active Stacking for Heart Rate Estimation

open access: yesCoRR, 2019
Heart rate estimation from electrocardiogram signals is very important for the early detection of cardiovascular diseases. However, due to large individual differences and varying electrocardiogram signal quality, there does not exist a single reliable estimation algorithm that works well on all subjects.
Dongrui Wu, Feifei Liu, Chengyu Liu 0001
openaire   +3 more sources

Heart Rate Extraction Algorithm of Anti-motion Interference Based on Compressive Sampled Photoplethysmography Signals [PDF]

open access: yesJisuanji gongcheng, 2019
Aiming at the problem of high power consumption and vulnerability to motion artifacts for long-term heart rate monitoring using pulse signals,an algorithm for extracting heart rate from compressed sampled pulse signals is proposed.The Lomb-Scargle ...
ZHANG Aihua,HU Jingtao,JIA Binbin
doaj   +1 more source

Vision-Based Heart and Respiratory Rate Monitoring During Sleep – A Validation Study for the Population at Risk of Sleep Apnea

open access: yesIEEE Journal of Translational Engineering in Health and Medicine, 2019
A reliable, accessible, and non-intrusive method for tracking respiratory and heart rate is important for improving monitoring and detection of sleep apnea.
Kaiyin Zhu   +5 more
doaj   +1 more source

Non-Contact Heart Rate Monitoring Based on Millimeter Wave Radar

open access: yesIEEE Access, 2022
Millimeter Wave(mmWave) radar has been widely used in vital sign monitoring with non-contact and privacy protection. To reduce the effect of random body motion, respiration, and its harmonics on heart rate estimation, the heart rate monitoring based on ...
Zongquan Ling   +4 more
doaj   +1 more source

Automated heart rate estimation in fish embryo [PDF]

open access: yes2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), 2015
Transparent organisms such as fish embryos are being increasingly used for environmental toxicology studies. These studies require estimating a number of physiological parameters. These estimations may be diverse in nature and can be a challenge to automate.
Puybareau, Élodie   +2 more
openaire   +3 more sources

Multi-ROI Spectral Approach for the Continuous Remote Cardio-Respiratory Monitoring from Mobile Device Built-In Cameras

open access: yesSensors, 2022
Heart rate (HR) and respiratory rate (fR) can be estimated by processing videos framing the upper body and face regions without any physical contact with the subject.
Nunzia Molinaro   +3 more
doaj   +1 more source

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