워핑 변환을 이용한 심전도 신호의 ST 분절 특징 값 강화

다국어 초록 (Multilingual Abstract)

In this study, we propose a novel method to detect and enhance the feature of ST-segment which offers the crucial information for the diagnosis of myocardial infarction and ischemia. With this aim, PQRST features of Electrocardiogram initially are detected and subsequently ST-segment are estimated. And Dynamic Time Warping(DTW) transformation is applied recursively to minimize the difference in time between ST-segments and calculate the minimum cumulative distance that decides the degree of similarity among ST-segments. As of the results, the inherent characteristic of ST-segment can be emphasized in terms of time parameter and thus the diagnostic features of a ST-segment can be revealed further.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 결과
• 4. 결론
• 감사의 글
• 참고문헌
• 저자소개

참고문헌 (Reference)

1 한학용, "패턴인식 개론" 한빛미디어 2006

2 신 승 원, "이동형 심전도 신호의 잡음 제거 및 유사도 평가" 대한전기학회 57 (57): 507-513, 2008

3 J. S. Sahambi, "Wavelet based ST-segment analysis" 36 : 568-572, 1998

4 G. B. Moddy, "MIT/BIH Database Distribution"

5 B. Hunag, "ECG Frame Classification Using Dynamic Time Warping" 1105-1110, 2002

6 H. Sakoe, "Dynamic Programming Algorithm Optimization for Spoken Ward Recognition" ASSP-26 (ASSP-26): 43-49, 1978

7 D. C. Reddy, "Biomedical Signal Processing:Principles and Techniques" McGraw-Hill 2005

8 R. M. Rangayyan, "Biomedical Signal Processing: A Case-Study Approach" Wiley-Interscience 2002