An explainable hierarchical self attention-based approach for tremor detection in the time domain 事件

An explainable hierarchical self attention-based approach for tremor detection in the time domain arXiv:2606.00461v1 Announce Type: new Abstract: Tremor is a common movement disorder associated with conditions like Parkinson's disease and Essential tremor, traditionally diagnosed through expert clinician assessment. Current automated detection methods rely on frequency-domain features informed by clinical expertise. In this work, we present an explainable, two-stage hierarchical framework for t