基于心率动力学的心律分类

2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI:10.1109/ESGCO.2014.6847534

M. Carrara, L. Carozzi, S. Cerutti, M. Ferrario, D. Lake, J. Moorman

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引用次数: 3

摘要

心律分类通常使用原始的心电图信号(EKG)来实现，这并不总是可用的。通过动态测量，我们开发了一个基于RR的分类器，它能够区分正常窦性心律(NSR)，心房颤动(AF)和窦性心律与异位，准确率分别为99%，81%和77%，使用10分钟的片段。分类器建立在弗吉尼亚大学(UVa) Holter数据库上。

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Classification of cardiac rhythm based on heart rate dynamics

Cardiac rhythm classification is usually achieved using the raw electrocardiogram signal (EKG), which is not always available. By means of dynamical measures we developed a RR based classifier which is able to distinguish normal sinus rhythm (NSR), atrial fibrillation (AF) and sinus rhythm with ectopy with an accuracy of 99%, 81% and 77%, respectively, using 10-minute segments. The classifier was built on the University of Virginia (UVa) Holter database.

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2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)

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