Results 21 to 30 of about 830,623 (154)

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation [PDF]

, 2022
Heart rate (HR) is one of the important vital parameters of the human body and understanding this vital sign provides key insights into human wellness.
Smera Premkumar, K., Jude Hemanth, D., Chaussalet, T.J., Kapetanios, D.E., Angelopoulou, A.   +4 more
core   +1 more source

Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles

Frontiers in Cardiovascular Medicine, 2023
Accurate heart rate (HR) measurement is crucial for optimal cardiac health, and while conventional methods such as electrocardiography and photoplethysmography are widely used for continuous daily monitoring, they may face practical limitations due to ...
Mohamed Elgendi, Wenshan Wu, Wenshan Wu, Cuntai Guan, Carlo Menon   +4 more
doaj   +1 more source

For Heart Rate Assessments from Drone Footage in Disaster Scenarios

Bioengineering, 2023
The ability to use drones to obtain important vital signs could be very valuable for emergency personnel during mass-casualty incidents. The rapid and robust remote assessment of heart rates could serve as a life-saving decision aid for first-responders.
Lucas Mösch, Isabelle Barz, Anna Müller, Carina B. Pereira, Dieter Moormann, Michael Czaplik, Andreas Follmann   +6 more
doaj   +1 more source

Dedicated Exposure Control for Remote Photoplethysmography

IEEE Access, 2020
This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for ...
Jordan Laurie, Niall Higgins, Thierry Peynot, Jonathan Roberts   +3 more
doaj   +1 more source

Photoplethysmography for demarcation of cutaneous squamous cell carcinoma

Scientific Reports, 2021
A video processing algorithm designed to identify cancer suspicious skin areas is presented here. It is based on video recordings of squamous cell carcinoma in the skin. Squamous cell carcinoma is a common malignancy, normally treated by surgical removal.
Simon Mylius Rasmussen, Thomas Nielsen, Sofie Hody, Henrik Hager, Lars Peter Schousboe   +4 more
doaj   +1 more source

Remote Blood Pressure Monitoring With a Wearable Photoplethysmographic Device (Senbiosys): Protocol for a Single-Center Prospective Clinical Trial

JMIR Research Protocols, 2021
BackgroundWearable devices can provide user-friendly, accurate, and continuous blood pressure (BP) monitoring to assess patients’ vital signs and achieve remote patient management. Remote BP monitoring can substantially improve BP
Sara Schukraft, Assim Boukhayma, Stéphane Cook, Antonino Caizzone   +3 more
doaj   +1 more source

Promoting Generalization in Cross-Dataset Remote Photoplethysmography [PDF]

, 2023
Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models.
Speth, Jeremy, Flynn, Patrick, Sporrer, Benjamin, Vance, Nathan   +3 more
core   +1 more source

ROI selection for remote photoplethysmography

, 2022
S.99-103Camera-based remote photoplethysmography (rPPG) is a technique that can be used to measure vital signs contactlessly. In order to optimize the extraction of photoplethysmographic signals from video sequences, we investigate the spatial dependence
Lempe, Georg, Malberg, Hagen, Zipser, Stephan, Zaunseder, Sebastian, Wirthgen, Tom   +4 more
core   +1 more source

Performance Evaluation of rPPG Approaches with and without the Region-of-Interest Localization Step

Applied Sciences, 2021
Traditionally, the first step in physiological measurements based on remote photoplethysmography (rPPG) is localizing the region of interest (ROI) that contains a desired pulsatile information. Recently, approaches that do not require this step have been
Žan Pirnar, Miha Finžgar, Primož Podržaj   +2 more
doaj   +1 more source

Improving Remote Photoplethysmography Performance through Deep-Learning-Based Real-Time Skin Segmentation Network

, 2023
In recent years, health-monitoring systems have become increasingly important in the medical and safety fields, including patient and driver monitoring.
Jaemu Oh, Kunyoung Lee, Hojoon You, Eui Chul Lee   +3 more
core   +1 more source