Results 31 to 40 of about 593,568 (322)

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

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

RealSense = real heart rate: Illumination invariant heart rate estimation from videos [PDF]

open access: yes2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
Recent studies validated the feasibility of estimating heart rate from human faces in RGB video. However, test subjects are often recorded under controlled conditions, as illumination variations significantly affect the RGB-based heart rate estimation accuracy.
Chen, J. (Jie)   +6 more
openaire   +2 more sources

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   +2 more sources

Dual Attention Network for Heart Rate and Respiratory Rate Estimation

open access: yes2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021
Heart rate and respiratory rate measurement is a vital step for diagnosing many diseases. Non-contact camera based physiological measurement is more accessible and convenient in Telehealth nowadays than contact instruments such as fingertip oximeters since non-contact methods reduce risk of infection. However, remote physiological signal measurement is
Yuzhuo Ren   +2 more
openaire   +2 more sources

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

How random is your heart beat? [PDF]

open access: yes, 2006
We measure the content of random uncorrelated noise in heart rate variability using a general method of noise level estimation using a coarse grained entropy.
Baselli   +30 more
core   +2 more sources

Amélioration de l'estimation du rythme cardiaque foetal en utilisant les signaux Doppler directionnels et YIN [PDF]

open access: yes, 2012
National audienceTechniques dedicated to the fetal heart rate detection identify the patterns that repeat themselves over the time. The heart rate estimation is algorithmically similar to the estimation of the fundamental frequency (pitch) of voice ...
Girault, Jean-Marc   +2 more
core   +3 more sources

Vital Sign Detection via Angular and Range Measurements With mmWave MIMO Radars: Algorithms and Trials

open access: yesIEEE Access, 2022
Vital signs such as respiration rate and pulse (heart rhythm) rates are very useful in determining health problems and managing well-being. Heart rate measurement techniques have evolved from counting pulses to contact-based approaches such as ...
Bhaskar Raj Upadhyay   +2 more
doaj   +1 more source

Smart Device for the Determination of Heart Rate Variability in Real Time [PDF]

open access: yes, 2017
This work presents a first approach to the design, development, and implementation of a smart device for the real-time measurement and detection of alterations in heart rate variability (HRV).
Barbarov-Rostán, Gerardo   +5 more
core   +1 more source

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