测试了12种主要动态手枪分析算法的质量

R. Fischer, M. F. Sinner, R. Petrovic, E. Tarita, S. Kaab, T.K. Zywietz
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引用次数: 7

摘要

由于在临床试验中作为生物标志物的重要性日益增加,计算机辅助心电图分析最近经历了一次显着的复兴。特别是12导联24小时动态记录是目前的常规应用。但是计算机对12个霍尔特导联记录的自动分析有多准确呢?虽然有几个数据库可以评估2导联Holter算法的性能,例如MIT-BIH, AHA等,但据我们所知,没有真正的12导联Holter算法的注释数据库。因此,我们创建了一个新的12导联心电图数据库,其中包含来自慕尼黑大学医院Grosshadern校区的50个动态心电图。本文详细介绍了评估不同12导联霍尔特分析算法的数据库及其应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the quality of 12 lead holter analysis algorithms
Computer assisted analysis of ECGs has recently experienced a remarkable revival due to its increased importance as biomarker in clinical trials. Especially 12-lead 24 h Holter-recording is nowadays routinely applied. But how accurate is the automatic computer analysis of 12 lead Holter recordings? While there are several data bases to evaluate the performance of 2-lead Holter algorithms, e.g., MIT-BIH, AHA etc., to our knowledge, there is no annotated data base for real 12-lead Holter algorithms. We have therefore created a new 12 lead ECG database containing 50 Holter ECGs from the University Hospital Munich, Campus Grosshadern. The following paper describes the data base and its application for evaluating different 12 lead Holter analysis algorithms in detail.
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