Complexity measure revisited: A new algorithm for classifying cardiac arrhythmias

被引：6

作者：

Ayesta, U ^{[1
]}

Serrano, L ^{[1
]}

Romero, I ^{[1
]}

机构：

[1] Univ Publ Navarra, Dept Elect & Elect Engn, Pamplona 31006, Spain

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷

关键词：

biomedical signal processing; arrhythmia classification;

D O I：

10.1109/IEMBS.2001.1020515

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This paper deals to the suitability of Complexity Measure of ECG signals for the classification of cardiac arrhythmia's. Applying this algorithm to data from the MIT-BIH database a very poor performance, especially for SR signals, and an overall error rate of 20% is obtained. In this study a novel measure, named SPDR, Sample Percentage in the Dynamic Range, to be used in combination with the Complexity Measure algorithm, is proposed. Using this novel proposal the result of the classification is improved decreasing the overall error rate until to 9%. The algorithm has been implemented in a computer using LabView and C++ software.

引用

页码：1589 / 1591

页数：3

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