Groupleader
Main research areas
- Measurement and analysis of biosignals, including clinical biosignals.
- Development of diagnostic algorithms in cardiology, including the use of AI.
- Health and activity monitoring using smartphones and wearables.
- Assessment of stress in drivers and soldiers and determination of anxiety in phobic patients.
- Utilization of biosignals in biofeedback and virtual reality.
Main practical research results
- Brno University of Technology ECG Quality Database (BUT QDB) - an annotated database for the assessment of ECG signal quality.
- Brno University of Technology ECG Signal Database with Annotations of P Wave (BUT PDB) - a database of ECG recordings with expert annotations of P waves.
- Brno University of Technology Smartphone PPG Database (BUT PPG) - a database for the assessment of PPG recordings.
Main research publications
- Reliable P wave detection in pathological ECG signals
- Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone
- Real-Time Quality Assessment of Long-Term ECG Signals Recorded by Wearables in Free-Living Conditions
- Di-4-ANEPPS modulates electrical activity and progress of myocardial ischemia in rabbit isolated heart
- Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device
Projects/Industrial contracts
Advanced Signal Processing Framework for Sensor Networks
Project beginning
2023
Project leader
NextPerception
Project beginning
2020
Project leader
Health and activity monitoring by wearables in extreme conditions
Project beginning
2019
Project leader
Rozvoj komunikačních kompetencí novou vzdělávací metodikou, vycházející z objektivního hodnocení biosignálů performera a recipienta.
Project beginning
2019
Project leader
Vývoj modelů pro víceúrovňovou klasifikaci poruch srdečního rytmu v EKG záznamech
Project beginning
2019
Project leader
