Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
arXiv:2605.00130v1 Announce Type: new
Abstract: Learning meaningful representations from medical time series (MedTS) such as ECG or EEG signals is a critical challenge. These signals are often high-dimensional, variable-length and rife with noise. Exi…