A neural NETWORK system for detection of atrial fibrillation in ambulatory electrocardiograms.
Introduction: A neural network classifier has been designed, which is able to distinguish atrial fibrillation (AF) from other supraventricular arrhythmias in ambulatory (Holter) ECGs. Method and Results: The classification algorithm uses a rhythm analysis that considers the ECG to be a time series o...
| Published in: | Journal of Cardiovascular Electrophysiology Vol. 5; no. 7; pp. 602 - 609 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Wiley-Blackwell
Jul1994
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| Online Access: | View this record in EBSCOhost |