SPOTR is a single-token reconstruction self-supervised pretraining method for EEG, iEEG, ECG, and PPG that reports AUC gains of 4.64-21.71% over baselines under linear probing while cutting latency and memory.
words” and rhythms as “sentences
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning
SPOTR is a single-token reconstruction self-supervised pretraining method for EEG, iEEG, ECG, and PPG that reports AUC gains of 4.64-21.71% over baselines under linear probing while cutting latency and memory.