Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

1 code implementation • 4 Jul 2022 • Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang

Compared to supervised learning with labelled disease EEG data which can train a model to analyze specific diseases but would fail to monitor previously unseen statuses, anomaly detection based on only normal EEGs can detect any potential anomaly in new EEGs.

Anomaly Detection EEG +1