Results 111 to 120 of about 6,321 (175)

Remote monitored non-invasive photoplethysmography

, 2020
Photoplethysmography (PPG) is a very easy and low-price method among the optical measurements techniques which can be used to determine blood volume changes in the microvascular of tissue. It is generally used for determining the important parameters such as heart beat and oxygen level of bloods at the skin surface.
openaire   +1 more source

Innovative approaches in imaging photoplethysmography for remote blood oxygen monitoring

Scientific Reports
Peripheral Capillary Oxygen Saturation (SpO2) has received increasing attention during the COVID-19 pandemic. Clinical investigations have demonstrated that individuals afflicted with COVID-19 exhibit notably reduced levels of SpO2 before the ...
Shangwei Zhu, Shaohua Liu, Xingjian Jing, Yuchong Yang, Chundong She   +4 more
doaj   +1 more source

Associations Between Heart Rate Variability Measured With a Wrist-Worn Sensor and Older Adults' Physical Function: Observational Study. [PDF]

, 2019
BACKGROUND:Heart rate variability (HRV), or variation in beat-to-beat intervals of the heart, is a quantitative measure of autonomic regulation of the cardiovascular system.
Depp, Colin A, Graham, Sarah Anne, Jeste, Dilip V, Kim, Ho-Cheol, Lee, Ellen E, Tu, Xin, Wu, Tsung-Chin   +6 more
core  

An image-processing toolkit for remote photoplethysmography

Multimedia Tools and Applications
Abstract Objective. Image-processing-based remote photoplethysmography algorithms are usually composed of steps where different methods are used, and often, researchers perform these steps using methods that are not necessarily the best for their application.
Javier Montalvo, Álvaro García-Martín, José M. Martínez   +2 more
openaire   +1 more source

Remote Vital Sensing in Clinical Veterinary Medicine: A Comprehensive Review of Recent Advances, Accomplishments, Challenges, and Future Perspectives

Animals
Remote vital sensing in veterinary medicine is a relatively new area of practice, which involves the acquisition of data without invasion of the body cavities of live animals.
Xinyue Zhao, Ryou Tanaka, Ahmed S. Mandour, Kazumi Shimada, Lina Hamabe   +4 more
doaj   +1 more source

High-quality deepfakes have a heart!

Frontiers in Imaging
IntroductionDeepfakes have become ubiquitous in our modern society, with both their quantity and quality increasing. The current evolution of image generation techniques makes the detection of manipulated content through visual inspection increasingly ...
Clemens Seibold, Clemens Seibold, Eric L. Wisotzky, Eric L. Wisotzky, Arian Beckmann, Benjamin Kossack, Anna Hilsmann, Peter Eisert, Peter Eisert   +8 more
doaj   +1 more source

Heart Rate Estimation from Remote Photoplethysmography Signal

International Journal For Multidisciplinary Research
Remote photoplethysmography (rPPG) enables noncontact heart rate estimation from facial videos by analyzing subtle color changes correlated with blood volume pulses. However, rPPG signals are often contaminated with motion artifacts, illumination noise, and facial expression changes.
Arya Sharma, Krishi Verma, Bhawna Sharma, Sheetal Gandotra, Ankita Sharma   +4 more
openaire   +1 more source

Adaptive Parameter Optimization for Robust Remote Photoplethysmography

Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting adaptability to diverse deployment environments.
Morales, Cecilia G., Teh, Fanurs Chi En, Li, Kai, Agrawal, Pushpak, Dubrawski, Artur   +4 more
openaire   +2 more sources

MultiPhys: Heterogeneous Fusion of Mamba and Transformer for Video-Based Multi-Task Physiological Measurement

Sensors
Due to its non-contact characteristics, remote photoplethysmography (rPPG) has attracted widespread attention in recent years, and has been widely applied for remote physiological measurements.
Chaoyang Huo, Pengbo Yin, Bo Fu
doaj   +1 more source

Video-Based Deception Detection via Capsule Network With Channel-Wise Attention and Supervised Contrastive Learning

IEEE Open Journal of the Computer Society
Deception detection is essential for protecting the public interest and maintaining social order. Its application in various fields helps to establish a safer and trustworthy social environment. This study focuses on the problem of deception detection in
Shuai Gao, Lin Chen, Yuancheng Fang, Shengbing Xiao, Hui Li, Xuezhi Yang, Rencheng Song   +6 more
doaj   +1 more source