Application of fuzzy reasoning to myocardial ischemia judgment based on electrocardiogram ST-T complex / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 147-156, 2012.
Article
in Chinese
| WPRIM
| ID: wpr-274884
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Signal Processing, Computer-Assisted
/
Myocardial Ischemia
/
Fuzzy Logic
/
Diagnosis
/
Electrocardiography
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2012
Type:
Article
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