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KMID : 1137820070280050665
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의공학회지
2007 Volume.28 No. 5 p.665 ~ p.675
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An Algorithm for Classification of ST Shape using Reference ST set and Polynomial Approximation
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Jeong Gu-Young
Yu Kee-Ho
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Abstract
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The morphological change of ECG is the important diagnostic parameter to finding the malfunction of a heart. Generally ST segment deviation is concerned with myocardial abnormality. The aim of this study is to detect the change of ST in shape using a polynomial approximation method and the reference ST type. The developed algorithm consists of feature point detection, ST level detection and ST shape classification. The detection of QRS complex is accomplished using it’s the morphological characteristics such as the steep slope and high amplitude. The developed algorithm detects the ST level change, and then classifies the ST shape type using the polynomial approximation. The algorithm finds the least squares curve for the data between S wave and T wave in ECG. This curve is used for the classification of the ST shapes. ST type is classified by comparing the slopes of the specified points between the reference ST set and the least square curve. Through the result from the developed algorithm, we can know when the ST level change occurs and what the ST shape type is.
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KEYWORD
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ECG, ST segment, polynomial approximation, ST classification, reference ST set
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