Results 21 to 30 of about 588,028 (287)

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

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

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

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

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

Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning

open access: yesArchives 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

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

A Neural Network Model for Estimating the Heart Rate Response to Constant Intensity Exercises

open access: yesSignals, 2021
Estimating the heart rate (HR) response to exercises of a given intensity without the need of direct measurement is an open problem of great interest. We propose here a model that can estimate the heart rate response to exercise of constant intensity and
Maria S. Zakynthinaki   +4 more
doaj   +1 more source

Noninvasive prediction of Blood Lactate through a machine learning-based approach. [PDF]

open access: yes, 2019
We hypothesized that blood lactate concentration([Lac]blood) is a function of cardiopulmonary variables, exercise intensity and some anthropometric elements during aerobic exercise.
Casaburi, Richard   +6 more
core   +3 more sources

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