Classification of cardiac rhythm using heart rate dynamical measures: validation in MIT-BIH databases
Classification of cardiac rhythm using heart rate dynamical measures: validation in MIT-BIH databases
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DOI：
10.1016/j.jelectrocard.2015.08.002
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发表时间：
2015-11-01
影响因子：
1.3
通讯作者：
Ferrario, Manuela
中科院分区：
文献类型：
--
作者：
Carrara, Marta;Carozzi, Luca;Ferrario, Manuela
背景：心房颤动（AF）的识别是临床上的当务之急。心跳间隔时间序列越来越多地可从个人监护仪，允许新的机会AF diagnosis.Goal：以前，我们设计了数值算法识别正常窦性心律（NSR），AF，SR与频繁异位使用动态测量的心率。在这里，我们希望验证他们在规范的MIT-BIH ECG databases.Methods：我们测试算法的NSR，AF和心律失常databases.Results：当数据库相结合，新算法的阳性预测值超过95%的NSR和AF，并为40%的SR异位。此外，动力学测量不能区分心房和心室异位。检查个人24小时的记录表现出良好的相关性，观察和预测rhythms.Conclusion：心率动态措施是有效的成分，在数值算法分类的心脏节律的心跳间隔时间序列。(C)2015 Elsevier Inc. All rights reserved.
Background: Identification of atrial fibrillation (AF) is a clinical imperative. Heartbeat interval time series are increasingly available from personal monitors, allowing new opportunity for AF diagnosis.Goal: Previously, we devised numerical algorithms for identification of normal sinus rhythm (NSR), AF, and SR with frequent ectopy using dynamical measures of heart rate. Here, we wished to validate them in the canonical MIT-BIH ECG databases.Methods: We tested algorithms on the NSR, AF and arrhythmia databases.Results: When the databases were combined, the positive predictive value of the new algorithms exceeded 95% for NSR and AF, and was 40% for SR with ectopy. Further, dynamical measures did not distinguish atrial from ventricular ectopy. Inspection of individual 24 hour records showed good correlation of observed and predicted rhythms.Conclusion: Heart rate dynamical measures are effective ingredients in numerical algorithms to classify cardiac rhythm from the heartbeat intervals time series alone. (C) 2015 Elsevier Inc. All rights reserved.