3 papers
cs.LG2025
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
Adrian Atienza, Gouthamaan Manimaran, Sadasivan Puthusserypady +3
The integration of Artificial Intelligence (AI) into clinical research has great potential to reveal patterns that are difficult for humans to detect, creating impactful connection…
cs.LG2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Adtian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady
Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digital health. Unsupervised learning frameworks such as Self-Supervised Learning (SSL)…
cs.LG2025
CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
Adtian Atienza, Gouthamaan Manimaran, Jakob E. Bardram +1
Wearable sensing devices, such as Electrocardiogram (ECG) heart-rate monitors, will play a crucial role in the future of digital health. This continuous monitoring leads to massive…