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 population to...

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 symptom,...

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 Applied Medical...