Anomaly Detection in ECG Data

brawlhalla

- Preprocessed ECG data (MIT-BIH Arrhythmia Database) by segmenting it into windows around each heartbeat
- Trained an AutoEncoder with CNN model to accurately reconstruct normal beats
- Detected anomalies by comparing reconstruction errors to a predefined threshold, achieving high AUC score of 0.9