Results 21 to 30 of about 8,735,065 (335)

Using imaging photoplethysmography for heart rate estimation in non-human primates. [PDF]

open access: yesPLoS ONE, 2018
For humans and for non-human primates heart rate is a reliable indicator of an individual's current physiological state, with applications ranging from health checks to experimental studies of cognitive and emotional state.
Anton M Unakafov   +5 more
doaj   +2 more sources

Non-contact PPG signal and heart rate estimation with multi-hierarchical convolutional network [PDF]

open access: yesPattern Recognition, 2023
Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG) signal and HR ...
Bin Li   +3 more
semanticscholar   +1 more source

BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation [PDF]

open access: yesConference on Uncertainty in Artificial Intelligence, 2023
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG).
Valentin Bieri   +3 more
semanticscholar   +1 more source

Active Stacking for Heart Rate Estimation [PDF]

open access: yes2020 International Joint Conference on Neural Networks (IJCNN), 2020
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   +3 more
openaire   +2 more sources

A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables [PDF]

open access: yesIssue 6.3, Summer 2024, 2023
Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health.
Pranay Jain   +3 more
semanticscholar   +1 more source

Unsupervised Learning-Based Non-Invasive Fetal ECG Muti-Level Signal Quality Assessment

open access: yesBioengineering, 2023
Objective: To monitor fetal health and growth, fetal heart rate is a critical indicator. The non-invasive fetal electrocardiogram is a widely employed measurement for fetal heart rate estimation, which is extracted from the electrodes placed on the ...
Xintong Shi   +4 more
doaj   +1 more source

Heart rate as a marker of relapse during withdrawal of therapy in recovered dilated cardiomyopathy [PDF]

open access: yes, 2021
Objectives: The objective of this study was to determine the relationship between heart rate and relapse among patients in the TRED-HF (Therapy withdrawal in REcovered Dilated cardiomyopathy trial). Background: Understanding markers and mechanisms
Owen, Ruth   +32 more
core   +1 more source

A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia

open access: yesBiosensors, 2022
Objective: We have developed a peak detection algorithm for accurate determination of heart rate, using photoplethysmographic (PPG) signals from a smartwatch, even in the presence of various cardiac rhythms, including normal sinus rhythm (NSR), premature
Dong Han   +13 more
doaj   +1 more source

Heart rate variability analysis in general medicine. [PDF]

open access: yes, 2003
Autonomic nervous system plays an integral role in homeostasis. Autonomic modulation can frequently be altered in patients with cardiac disorders as well as in patients with other critical illnesses or injuries.
Malik, M, Gang, Y
core   +3 more sources

Indirect Estimation of Breathing Rate from Heart Rate Monitoring System during Running

open access: yesSensors, 2021
Recent advances in wearable technologies integrating multi-modal sensors have enabled the in-field monitoring of several physiological metrics. In sport applications, wearable devices have been widely used to improve performance while minimizing the risk
Gaëlle Prigent   +7 more
doaj   +1 more source

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