Results 91 to 100 of about 6,479 (196)

Pulse transit time measured by photoplethysmography improves the accuracy of heart rate as a surrogate measure of cardiac output, stroke volume and oxygen uptake in response to graded exercise [PDF]

, 2015
Heart rate (HR) is a valuable and widespread measure for physical training programs, although its description of conditioning is limited to the cardiac response to exercise.
Dacso, C.C., Padhye, N.S., Pollonini, L., Re, R., Simpson, R.J., Torricelli, A.   +5 more
core   +1 more source

PTT-based Contact-less Blood Pressure Measurement using an RGB-Camera

Current Directions in Biomedical Engineering, 2021
Commonly used blood pressure measurement devices have noticeable limitations in accuracy, measuring time, comfort or safety. To overcome these limitations, we developed and tested a surrogate-based, non-invasive blood pressure measurement method using an
Wuerich Carolin, Rademacher Robin, Wiede Christian, Grabmaier Anton   +3 more
doaj   +1 more source

Revolutionizing Heart Failure Management With Artificial Intelligence: A Narrative Review of Diagnostic, Prognostic, and Therapeutic Innovations

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aims Heart failure (HF) remains a major global health burden, affecting over 64 million individuals worldwide. Early detection and optimal management are often limited by subjective interpretation of diagnostic tests and variable clinical expertise. Artificial intelligence (AI) has emerged as a transformative technology that can
Farrukh Ansar, Muhammad Aamir Waheed, Usman Zafar, Abdulrahman Kolapo, Walid Sarfaraz, Khalid Rashid   +5 more
wiley   +1 more source

Clinical Validation of rPPG-Enabled Contactless Pulse Rate Monitoring Software in Cardiovascular Disease Patients

Bioengineering
Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide, creating demand for continuous, unobtrusive monitoring solutions. This clinical validation evaluates the accuracy of remote photoplethysmography (rPPG), a contactless ...
Jing Wei Chin, Po Him David Chan, Shutao Chen, Chun Hong Cheng, Richard H. Y. So, Elaine Chow, Benny S. P. Fok, Kwan Long Wong   +7 more
doaj   +1 more source

Validity and Reliability of the Heart Rate Matching Task: A Novel Measure of Heart Rate Estimation

Psychophysiology, Volume 63, Issue 4, April 2026.
ABSTRACT Sensing and monitoring changes in our heart rate is a key aspect of interoception. We introduce and test the construct validity of the Heart Rate Matching task (HRM), a novel, fast and accessible task designed to assess the ability to estimate heart rate, in both remote (i.e., online) and in‐lab settings.
Jamie A. Moffatt, Markus R. Tünte, Mariana Von Mohr, Manos Tsakiris   +3 more
wiley   +1 more source

High‐Performance Flexible Near‐Infrared Organic Light‐Emitting Diodes with a Heterogeneous Alloy Semitransparent Electrode

Advanced Materials, Volume 38, Issue 17, 20 March 2026.
This study presents a micro‐structured magnesium‐bismuth alloy electrode that enhances flexible NIR OLEDs. The electrode provides 40% broadband transmittance (400–1600 nm) and boosts light outcoupling efficiency (42.3%) and photoluminescence quantum yield (71.8%) through the Purcell effect in optical microcavities.
Mengxin Xu, Meina Han, Minying Xue, Shihao Liu, Yi Li, Gaoqiang Deng, Letian Zhang, Yuantao Zhang, Gang Cheng, Wenfa Xie, Chi‐Ming Che   +10 more
wiley   +1 more source

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

, 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, Tsai, Tung-Hu, Wang, Chun-Li, Wu, Han-Kuei, Wu, Hau-tieng, Wu, Wen-Hsiang, Yang, Yueh-Lung   +6 more
core   +4 more sources

Photoplethysmography for Measuring Cognitive Load in XR Environments: A Systematic Review

Advanced Sensor Research, Volume 5, Issue 3, March 2026.
ABSTRACT Photoplethysmography (PPG) is a low‐cost, low‐power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self‐reports
Alya Alshehhi, Qammer H.Abbasi, Rami Ghannam   +2 more
wiley   +1 more source

Effects of Missing Data on Heart Rate Variability Measured From A Smartwatch: Exploratory Observational Study

JMIR Formative Research
BackgroundMeasuring heart rate variability (HRV) through wearable photoplethysmography sensors from smartwatches is gaining popularity for monitoring many health conditions.
Hope Davis-Wilson, Meghan Hegarty-Craver, Pooja Gaur, Matthew Boyce, Jonathan R Holt, Edward Preble, Randall Eckhoff, Lei Li, Howard Walls, David Dausch, Dorota Temple   +10 more
doaj   +1 more source

Remote photoplethysmography based on implicit living skin tissue segmentation [PDF]

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Region of interest selection is an essential part for remote photoplethysmography (rPPG) algorithms. Most of the time, face detection provided by a supervised learning of physical appearance features coupled with skin detection is used for region of interest selection.
Bobbia, Serge, Benezeth, Yannick, Dubois, Julien   +2 more
openaire   +2 more sources