Classification of AF and other arrhythmias from a short segment of ECG using dynamic time warping
Abstract
Atrial Fibrillation(AF) is a major public health risk but its identification is challenging because it may be episodic and non-symptomatic. Automatically identifying episodes of AF from a short segment of ECG would, thus, be beneficial. As a response to the Physionet/Computing in Cardiology Challenge 2017 we have implemented a three-stage classifier which can classify segments of ECG into Noisy, Normal, AF or Other Rhythm. We employ a...
Paper Details
Title
Classification of AF and other arrhythmias from a short segment of ECG using dynamic time warping
Published Date
Sep 1, 2017
Journal
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