Application of fuzzy reasoning to myocardial ischemia judgment based on electrocardiogram ST-T complex.
- Author:
Jinzhong SONG
1
;
Hong YAN
;
Guizhi LIU
;
Hong KUANG
Author Information
1. State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing 100094, China.
- Publication Type:Journal Article
- MeSH:
Electrocardiography;
Fuzzy Logic;
Humans;
Myocardial Ischemia;
diagnosis;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2012;29(1):147-156
- CountryChina
- Language:Chinese
-
Abstract:
Electrocardiogram (ECG) is a convenient, economic, and non-invasive detecting tool in myocardial ischemia (MI). Its clinical appearance is mainly exhibited by ST-T complex change. MI events are usually instantaneous and asymptomatic in some cases, which cannot be forecasted to have a precautionary measure in time by doctors. The automatic detection of MI by computer and a cued warning of danger in real time play an important role in diagnosing heart disease. With the help of the medical staff, some quantitative approbatory indicators, such as ST-segment deviation, the amplitude of T-wave peak and the rate of ST and heart rate (HR), were combined to judge MI using fuzzy reasoning. After MIT-BIH database and the long-term ST database (LTST) verification, sensitivity and positive predictive values reached 75% and 78% respectively, and specificity and negative predictive values were 85% and 87% respectively. In addition, the proposed method was close to human way of thinking and understanding, and easy to apply in clinical detection and engineering fields.
