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DUDE: Deep unsupervised domain adaptation using variable nEighborsfor physiological time series analysis
By Jeremy Levy, Noam Ben-Moshe, Uri Shalit, and Joachim A. Behar. Publication: https://iopscience.iop.org/article/10.1088/1361-6579/ae2231/meta Deep learning has changed the way we analyze physiological time-series such as ECG, SpO₂, and PPG signals. Modern neural networks routinely match and sometimes exceed expert performance in clinical tasks, from detecting atrial fibrillation to staging sleep. But there’s a catch: these models often break when moved from one patient popu

Joachim A. Behar
Dec 12, 2025


The challenge in finding a simple, accurate, reliable, and affordable tool for the objective assessment of excessive daytime sleepiness (EDS)
Oksenberg et al 2025 Physiol. Meas. https://doi.org/10.1088/1361-6579/ae2b4b Why Measuring Daytime Sleepiness Is So Hard and How Wearable Technology Could Help Excessive daytime sleepiness (EDS) is far more than feeling a little tired. It’s a physiological state that affects millions of people, impairing attention, slowing reaction time, and increasing the risk of accidents. For patients with sleep disorders like obstructive sleep apnea (OSA), EDS can be the most debilitating

Joachim A. Behar
Dec 11, 2025


Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
By Márton Áron Goda, Helen Badge, Jasmeen Khan, Yosef Solewicz, Moran Davoodi, Rumbidzai Teramayi, Dennis Cordato, Longting Lin, Lauren Christie, Christopher Blair, Gagan Sharma, Mark Parsons and Joachim A Behar This study represents a joint collaboration between Pázmány Péter Catholic University’s Faculty of Information Technology and Bionics (Hungary), the Faculty of Biomedical Engineering at the Technion–Israel Institute of Technology (Israel), and the Ingham Institute for

Joachim A. Behar
Dec 10, 2025


A multi-source domain fine-tuning framework for deep generalization performance in physiological time series analysis
By Eran Zvuloni, Guido Gagliardi, Antonio Horta Ribeiro, Antonio Luiz Pinho Ribeiro, Maarten De Vos and Joachim A Behar This work is the result of an international collaboration between researchers from the Technion–Israel Institute of Technology, KU Leuven (Belgium), the University of Pisa (Italy), Uppsala University (Sweden), and the Federal University of Minas Gerais (Brazil). Zvuloni Eran, Gagliardi Guido et al 2025 Mach. Learn.: Health https://doi.org/10.1088/3049-477X/a

Joachim A. Behar
Dec 10, 2025


Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography-SleepAI
Publication: https://onlinelibrary.wiley.com/doi/full/10.1111/jsr.70093 Diagnosing sleep disorders like obstructive sleep apnea (OSA) has...

AIMLab
Jul 1, 2025
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