Frontiers in Biology >

2007 , Vol. 2 >Issue 3: 362 - 367

DOI: https://doi.org/10.1007/s11515-007-0054-y

Shape identification of electrocardiographic ST segment based on radial basis function neural network

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  • School of Life Science and Technology, Huazhong University of Science and Technology, The Key Laboratory of Biomedical Photonics of Ministry of Education, Wuhan 430074, China;

Published date: 05 Sep 2007

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Abstract

The types of myocardial ischemia can be revealed by electrocardiographic (ECG) ST segment. Effective measurement and electrocardiographic analysis of ST as well as calculation of displacement and shape change of ST segment can help doctors diagnose coronary heart disease and myocardial ischemia, especially for asymptomatic myocardial ischemia. Therefore, it is a very important subject in clinical practice to measure and classify the ECG ST segment. In this paper, we introduce a computerized automatic identification method of the electrocardiographic ST segment shape with radial basis function neural network based on adaptive fuzzy system, which has a better effect than other methods. It helps to analyze the reason of the ST segment change and confirm the position of myocardial ischemia, and is useful for doctor diagnosis.

Cite this article

LIU Hailong, TANG Jiling . Shape identification of electrocardiographic ST segment based on radial basis function neural network[J]. Frontiers in Biology, 2007 , 2(3) : 362 -367 . DOI: 10.1007/s11515-007-0054-y

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