Key result
A novel time-domain ECG signal quality assessment method for real-time detection of ventricular tachycardia and fibrillation was developed and validated on publicly available databases.
A novel time-domain ECG signal quality assessment method enables real-time VT/VF detection for low-power mobile telemetry systems, even in the presence of artefacts.
May enable real-time arrhythmia detection in low-power mobile ECG; leaves open clinical validation before adoption.
Artefacts which are present in electrocardiogram (ECG) recordings distort detection of life-threatening arrhythmias such as ventricular tachycardia and ventricular fibrillation. The method examines single ECG lead and exploits time domain signal parameters for real-time detection of severe cardiac arrhythmias. The method is dedicated to implementation in mobile ECG telemetry systems, which are designed by using low-power microcontrollers, operating more than a week on a single battery charge. The method has been validated on publicly available databases and the results are presented. We verified our method on ECG signals obtained without pre-selection meaning that the noisy intervals were not omitted from signal analysis.
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Jovanović et al. (2018) studied Ventricular tachycardia and ventricular fibrillation. VT/VF detection method based on ECG signal quality assessment was evaluated on Detection of severe cardiac arrhythmias. A novel time-domain ECG signal quality assessment method for real-time detection of ventricular tachycardia and fibrillation was developed and validated on publicly available databases.
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