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RULE BASED CLASSIFICATION OF ISCHEMIC ECG BEATS USING ANT-MINER

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Author(s): S. Murugan, | Dr.S. Radhakrishnan

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 2;
Issue: 8;
Start page: 3929;
Date: 2010;
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Keywords: Ant-Miner algorithm | data mining | Myocardial ischemia and ECG beats

ABSTRACT
Myocardial ischemia is the most common cardiac disease and is characterized by a high risk of sudden cardiac death. The accurate ischemic episode detection, where a sequence of cardiac beats is assessed, is based on the correct detection of ischemic beats. In this paper, a data mining approach, association rule based classification using Ant-Miner algorithm is proposed for automatic detection of ischemic ECG beats. The proposed work has two steps: initially the noise is removed and the features are extracted from the ECG signals. With these features, the Ant-Miner is applied to extract the rules. European Society of Cardiology ST-T database of ECGbeats is used to analyze the performance of our proposed method with the existing. The greater accuracy of the proposed method shows its high performance than the existing.
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