Key result
The Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) was created, providing 50 manually annotated 2-minute ECG records with 23 types of pathologies for algorithm testing.
Why the study?
The database was created to enable the development, evaluation, and objective comparison of P wave detection algorithms.
The BUT PDB provides a publicly available, manually annotated dataset of 50 pathological ECG records to facilitate the development and objective comparison of P wave detection algorithms.
Background : Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) is an ECG signal database with marked peaks of P waves created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology. Results: The database consists of 50 2-minute 2-lead ECG signal records with various types of pathologies. The ECGs were selected from 3 existing databases of ECG signal - MIT-BIH Arrhythmia Database, MIT-BIH Supraventricular Arrhythmia Database and Long Term AF Database. The P waves positions were manually annotated by two ECG experts in all 50 records. Each record contains also dominant diagnosis (pathology) present in the record and annotated positions and types of QRS complexes (from the original database). Conclusion: The database is created for the development, evaluation and objective comparison of P wave detection algorithms.
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Maršánová et al. (2021) studied Cardiac arrhythmias and pathologies (n=50). Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) was evaluated. The Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) was created, providing 50 manually annotated 2-minute ECG records with 23 types of pathologies for algorithm testing.
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