Results 81 to 90 of about 6,571 (182)

Remote Photoplethysmography using Commercially Available Webcams

open access: yes, 2021
Photoplethysmography (PPG) is a non-invasive method used to measure heart rate by utilizing light. On the other hand, Remote photoplethysmography (rPPG) is a cutting-edge technology that enables contactless monitoring of human cardiac activities. It achieves this by detecting the pulse-induced subtle color variations on the human skin surface using a ...
openaire   +1 more source

Advances in cardiac devices and bioelectronics augmented with artificial intelligence

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark   +3 more
wiley   +1 more source

Contactless Cardiovascular Assessment by Imaging Photoplethysmography: A Comparison with Wearable Monitoring

open access: yesSensors, 2023
Despite the notable recent developments in the field of remote photoplethysmography (rPPG), extracting a reliable pulse rate variability (PRV) signal still remains a challenge.
Valerie A. A. van Es   +3 more
doaj   +1 more source

Breathing Signature as Vitality Score Index Created by Exercises of Qigong: Implications of Artificial Intelligence Tools Used in Traditional Chinese Medicine. [PDF]

open access: yes, 2019
Rising concerns about the short- and long-term detrimental consequences of administration of conventional pharmacopeia are fueling the search for alternative, complementary, personalized, and comprehensive approaches to human healthcare.
Dethlefs, Brent A   +6 more
core   +1 more source

Role of reactive oxygen species in mediating peripheral hypoxic vasodilation and sympathoexcitation at high altitude

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend High‐altitude acclimatisation increases muscle sympathetic nerve activity (MSNA) via activation of the arterial chemoreflex, pulmonary arterial baroreceptors and resetting of the sympathetic vascular baroreflex. However attempting to silence these mechanisms only partially normalises MSNA, implicating other contributory ...
Liam D. Corr   +15 more
wiley   +1 more source

Noise-resilient spatial–channel refinement for robust remote photoplethysmography

open access: yesFrontiers in Bioengineering and Biotechnology
IntroductionRemote photoplethysmography (rPPG) enables non-contact heart rate measurement from facial videos with growing health monitoring applications.
Xianwei Zhang   +7 more
doaj   +1 more source

Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology

open access: yesDiabetes, Obesity and Metabolism, Volume 28, Issue 6, Page 4445-4463, June 2026.
ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng   +5 more
wiley   +1 more source

Medical Devices for Measuring Respiratory Rate in Children: a Review [PDF]

open access: yes, 2016
Respiratory rate is an important vital sign used for diagnosing illnesses in children as well as prioritising patient care. All children presenting acutely to hospital should have a respiratory rate measured as part of their initial and ongoing ...
Burke, Derek   +9 more
core   +2 more sources

Continual Test-Time Adaptation for Robust Remote Photoplethysmography Estimation

open access: yesIEEE Access
Remote photoplethysmography (rPPG) estimation has made considerable progress by leveraging deep learning, yet its performance remains highly susceptible to the domain shifts caused by lighting, skin tone and movement, particularly during inference ...
Hyunwoo Lee   +3 more
doaj   +1 more source

Modeling the pulse signal by wave-shape function and analyzing by synchrosqueezing transform

open access: yes, 2016
We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals.
Chang, Hen-Hong   +6 more
core   +4 more sources

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