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Automated real-time method for ventricular heartbeat classification.

Computer Methods and Programs in Biomedicine(2019)

Cited 24|Views12
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Abstract
•A fully automated and real-time heartbeat ventricular arrhythmia classifier based on a single lead designed to be fast and efficient in the training and evaluation phase.•The arrhythmia classifier can be applied to different ECG leads with excellent performance. Potential application to wearables with unconventionally placed electrodes.•Trained and evaluated with different databases, allowing the inter-patient and inter-database classification.
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Key words
Biomedical signal processing,ECG heartbeat classification,Reservoir computing,Template matching
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