Results 91 to 100 of about 6,321 (175)

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

Organic Bulk‐Heterojunction‐Integrated Flexible Perovskite Photodetection Arrays for High‐Speed Broadband Optical Communication

Advanced Science, Volume 13, Issue 9, 13 February 2026.
A flexible broadband photodetector is realized by integrating a perovskite with an organic bulk‐heterojunction. It achieves high external quantum efficiency (EQE) (>80% visible, >60% near‐infrared (NIR)), ultralow dark current, and fast response, enabling self‐powered, high‐detectivity operation.
Xin Hong, Kanghui Ke, Yu Gao, Jiazhi Meng, Bohua Deng, Haoyu Huang, Zhichun Si, H. Y. Fu, Feiyu Kang, Guodan Wei   +9 more
wiley   +1 more source

Fusion-Based Approach for Respiratory Rate Recognition From Facial Video Images

IEEE Access, 2020
The respiratory rate is an important vital parameter that provides information about persons' physical condition. In clinical practice it is currently only monitored using contact-based techniques, which can have negative effects on patients.
Marc-Andre Fiedler, Micha Rapczynski, Ayoub Al-Hamadi   +2 more
doaj   +1 more source

Cardiorespiratory Fitness, Functional Fitness and Body Composition Among Breast Cancer Survivors With 8 Weeks of Exercise Training: A Randomised, Controlled Non‐Inferiority Trial Comparing Remotely‐Supported and Partly‐Supervised Interventions

Cancer Medicine, Volume 15, Issue 2, February 2026.
ABSTRACT Background This randomised, controlled non‐inferiority trial investigated whether 8 weeks of remotely‐supported exercise training changes cardiorespiratory fitness, functional fitness and body composition by a magnitude that is not meaningfully inferior to changes caused by partly‐supervised exercise training.
Lauren Struszczak, Jean‐Philippe Walhin, James Betts, Dylan Thompson, Mark Beresford, James E. Turner   +5 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

Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology

MedComm, Volume 7, Issue 2, February 2026.
Traditional Chinese medicine (TCM) faces great challenges during the development of modern medicine. Utilizing novel technologies such as artificial intelligence (AI) and nanotechnology facilitates TCM with great potential in precision diagnosis and improved treatments efficacy.
Wenqi Yu, Mengzhen Chen, Xueqi Tan, Xi Wei, Fan Sun, Hua Yan, Xue Xu, Hongcai Shang   +7 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography—SleepAI

Journal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Home sleep apnea tests (HSATs) have emerged as alternatives to in‐laboratory polysomnography (PSG), but Type IV HSATs often show limited diagnostic performance. This study clinically validates SleepAI, a novel remote digital health system that applies AI algorithms to raw oximetry data for automated sleep staging and obstructive sleep apnea ...
Shirel Attia, Arie Oksenberg, Jeremy Levy, Angeleene Ang, Revital Shani‐Hershkovich, Alissa Adler, Shlomit Katsav, Sharon Haimov, Alexandra Alexandrovich, Riva Tauman, Joachim A. Behar   +10 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

Technology on Snow and Ice: Innovation, Monitoring, and Performance for the Olympic Winter Games Milano Cortina 2026

Scandinavian Journal of Medicine &Science in Sports, Volume 36, Issue 2, February 2026.
ABSTRACT Elite performance in Olympic winter sports depends on the interplay among the athlete, equipment, and the snow or ice. This naturally evolves with temperature, humidity, wind, preparation, and contact between the equipment and its surface. Together, these factors continuously rebalance the forces of gravity, aerodynamic drag, and friction ...
Andreas Almqvist, Matej Supej, Peter Düking, Thomas Stöggl, H.‐C. Holmberg   +4 more
wiley   +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