Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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An Algorithm for Classification of ST Shape using Reference ST set and Polynomial Approximation

레퍼런스 ST 셋과 다항식 근사를 이용한 ST 형상 분류 알고리즘

  • Jeong, Gu-Young (Dept. of Mechatronics Eng., Graduate School, Chonbuk National University) ;
  • Yu, Kee-Ho (Dept. of Mechanical and Aerospace Systems Eng., Chonbuk National University)
  • 정구영 (전북대학교 대학원 메카트로닉스공학과) ;
  • 유기호 (전북대학교 기계항공시스템공학부)
  • Published : 2007.10.31
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Abstract

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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