1 citations · 1 across the 4 of their papers we have counts for
4 papers
Foundation models for movement data: Are they ready for prime-time?
Alexander Bräuer, Benjamin Cauchi, Nils Strodthoff
Foundation models (FMs) trained on large-scale accelerometer data have been proposed as general-purpose feature extractors for health monitoring, but systematic evidence of their a…
Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
Tiezhi Wang, Wilhelm Haverkamp, Nils Strodthoff
Objective. Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive rates and limited cross-dataset generalization, particularly for atrial fibrill…
Assessing the importance of long-range correlations for deep-learning-based sleep staging
Tiezhi Wang, Nils Strodthoff
This study aims to elucidate the significance of long-range correlations for deep-learning-based sleep staging. It is centered around S4Sleep(TS), a recently proposed model for aut…
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang, Nils Strodthoff
Scoring sleep stages in polysomnography recordings is a time-consuming task plagued by significant inter-rater variability. Therefore, it stands to benefit from the application of…