3 papers
cs.LG2026
Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks
William Lehn-Schiøler, Magnus Ruud Kjær, Phillip Hempel +7
Sleep foundation models have recently demonstrated strong performance on in-domain polysomnography tasks, including sleep staging, apnea detection, and disease risk prediction. In…
eess.SP2023
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender, Philip Gemke, Ennio Idrobo-Avila +3
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their…
q-bio.TO2023
Measurement of Individual Alteration in Perioperative ECGs During Elective Percutaneous Coronary Intervention
Philip Gemke, Theresa Bender, Ennio Idrobo-Avila +4
The increasing availability of wearable electrocardiography (ECG) devices enables the continuous monitoring of individual ECG alterations. This could be beneficial for patients suf…