Benchmark

BUT QDB

A public dataset used for electrocardiogram quality assessment and anomaly detection.

Timeline (last 90 days)

Nov 3

The study evaluates five anomaly detectors on two datasets, PTB-XL and BUT QDB, and compares them with two uncertainty methods, Monte Carlo Dropout and deep ensembles.

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The study evaluates five anomaly detectors on two datasets, PTB-XL and BUT QDB, and compares them with two uncertainty methods, Monte Carlo Dropout and deep ensembles.

50%

Source Articles

Energy-Constrained Remote ECG Monitoring: Anomaly Filtering Outperforms Predictive UncertaintyNov 3