Results 41 to 50 of about 17,709 (302)
Advancement of science, 2023 In the fast‐evolving landscape of decentralized and personalized healthcare, the need for multimodal biosensing systems that integrate seamlessly with the human body is growing rapidly.
Zirui Lou +12 more
semanticscholar +1 more source
Predicting cardiovascular disease risk using photoplethysmography and deep learning [PDF]
PLOS Global Public Health, 2023 Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require a physical ...
Wei Weng +15 more
semanticscholar +1 more source
Dual-Path TokenLearner for Remote Photoplethysmography-Based Physiological Measurement With Facial Videos [PDF]
IEEE Transactions on Computational Social Systems, 2023 Remote photoplethysmography (rPPG)-based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial videos accompanied by noises of illumination variations, facial occlusions ...
Wei Qian +4 more
semanticscholar +1 more source
Detection of stress using photoplethysmography [PDF]
Stress is an important factor affecting human health, and its timely detection can significantly improve quality of life. This study addresses the current issue of identifying stress states using photoplethysmography signals obtained from the wearable ...
Strelchuk, Yaroslav +5 more
core +2 more sources
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography [PDF]
IEEE journal of biomedical and health informatics, 2020 Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields, such as health monitoring and emotion recognition.
Rencheng Song +5 more
semanticscholar +1 more source
Frontiers in Cardiovascular Medicine, 2021 Aims: Assessing the effectiveness of novel bio-sensing technology (CardiacSense), for accuracy and reliability of automatic detection of life-threatening arrhythmias.Methods and Results: This prospective study consisted of Eighteen patients (13 males and
Ehud Chorin +5 more
doaj +1 more source
Advances in Photoplethysmography for Personalized Cardiovascular Monitoring
Biosensors, 2022 Photoplethysmography (PPG) is garnering substantial interest due to low cost, noninvasiveness, and its potential for diagnosing cardiovascular diseases, such as cardiomyopathy, heart failure, and arrhythmia.
Seamin Kim, Xiao Xiao, Jun Chen
doaj +1 more source
Bioengineering, 2023 A low-cost, fast, dependable, repeatable, non-invasive, portable, and simple-to-use vascular screening tool for coronary artery diseases (CADs) is preferred.
Amjed S Al Fahoum +2 more
semanticscholar +1 more source
Blood Pressure Estimation by Photoplethysmogram Decomposition into Hyperbolic Secant Waves
Applied Sciences, 2022 Photoplethysmographic (PPG) pulses contain information about cardiovascular parameters. In particular, blood pressure can be estimated using PPG pulse decomposition analysis, which assumes that a PPG pulse is composed of the original heart ejection blood
Takumi Nagasawa +7 more
doaj +1 more source
Photoplethysmography Detection of Overreaching
Medicine & Science in Sports & Exercise, 2019 ABSTRACT Introduction Detecting the onset of functional overreaching (FOR) or nonfunctional overreaching in endurance athletes is of prior importance to ensure reactive amendment of the scheduled training program. The objective of this study was to assess photoplethysmography (PPG) in overloaded athletes and test ...
Bourdillon N, Nilchian M, Millet GP
openaire +4 more sources