Groupleader
Main research areas
- Advanced robust detection of QRS complexes in ECG records
- Advanced P-wave detection in pathological ECG records
- Annotation of the quality of ECG records
- Analysis of records from wearable devices
- Creation of publicly available databases of records from wearable devices
Main practical research results
- Annotation of the publicly available database at PhysioNet.org: “MIT-BIH Arrhythmia Database P-Wave Annotations”.
- Publicly available database at PhysioNet.org: “Brno University of Technology ECG Quality Database (BUT QDB)”.
- Publicly available database at PhysioNet.org: “Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB)”.
- Publicly available database at PhysioNet.org: “Brno University of Technology Smartphone PPG Database (BUT PPG)”.
- Software “Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions”.
- Software “Robust QRS Detection Using Combination of Three Independent Methods”.
- Software “Single-Feature Method for Fast Atrial Fibrillation Detection in ECG Signals”.
Main research publications
- Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions
- ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study
- Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts
- Adaptive Wavelet Wiener Filtering of ECG Signals
- Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone
- Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device
- A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression
