On-line heart beat recognition using hermite polynomials and neuro-fuzzy network

被引：111

作者：

Linh, TH ^{[1
]}

Osowski, S

Stodolski, M

机构：

[1] Warsaw Univ Technol, Inst Theory Elect Engn & Elect Measurement, Warsaw, Poland

[2] Mil Univ Technol, Warsaw, Poland

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2003年 / 52卷 / 04期

关键词：

arrhythmia recognition and classification; electrocardiography; Hermite function expansion; neurofuzzy networks; waveform characterization and measurement;

D O I：

10.1109/TIM.2003.816841

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents the neuro-fuzzy approach to the recognition and classification of heart rhythms on the basis of ECG waveforms. The important part in recognition fulfills the Hermite characterization of the QRS complexes. The Hermite coefficients serve as the features of the process. These features are applied to the fuzzy neural network for the recognition. The results of numerical experiments have confirmed very good performance of such solution.

引用

页码：1224 / 1231

页数：8

共 12 条

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