2 citations · 4 across the 6 of their papers we have counts for
6 papers
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation
Mantas Rinkevičius, Jesús Lázaro, Eduardo Gil +4
Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with…
Towards deployment-centric multimodal AI beyond vision and language
Xianyuan Liu, Jiayang Zhang, Shuo Zhou +45
Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as h…
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
Marton A. Goda, Peter H. Charlton, Joachim A. Behar
Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and…
PhysioZoo: The Open Digital Physiological Biomarkers Resource
Joachim A. Behar, Jeremy Levy, Eran Zvuloni +8
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series. The platform currently comprises four modules, each consisting of a library…
Robust peak detection for photoplethysmography signal analysis
Márton Á. Goda, Peter H. Charlton, Joachim A. Behar
Efficient and accurate evaluation of long-term photoplethysmography (PPG) recordings is essential for both clinical assessments and consumer products. In 2021, the top opensource p…
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography
Kevin Kotzen, Peter H. Charlton, Sharon Salabi +3
Introduction: Sleep staging is an essential component in the diagnosis of sleep disorders and management of sleep health. It is traditionally measured in a clinical setting and req…