AI RESEARCH
Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
arXiv CS.LG
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ArXi:2602.18473v2 Announce Type: replace Accurate analysis of medical time series (MedTS) data, such as electroencephalography (EEG) and electrocardiography (ECG), plays a pivotal role in healthcare applications, including the diagnosis of brain and heart diseases. MedTS data typically exhibit two critical patterns: temporal dependencies within individual channels and channel dependencies across multiple channels.