제어로봇시스템학회:학술대회논문집
- 2001.10a
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- Pages.55.4-55
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- 2001
A Study on the Automatic Diagnosis of ECG
- Jeong, Gu-Young (Chonbuk Univ.) ;
- Yu, Kee-Ho (Chonbuk Univ.) ;
- Kwon, Tae-Kyu (Chonbuk Univ.) ;
- Lee, Seong-Cheol (Chonbuk Univ.)
- Published : 2001.10.01
Abstract
Analyzing the ECG signal, we can find heart disease. Myocardial ischemia is a disorder of cardiac function caused by insufficient blood flow to the muscle tissue of the heart. Myocardial ischemia is inscribed on ST-segment of the ECG during and after patient takes exercise or is under stress, but after long time past, the ECG pattern is return to steady state. Therefore, it is necessary to monitor and analyze the ECG signal continuously for patient or aged people. Our primary purpose is the detection of temporary change of the ST-segment of ECG automatically. In the signal processing, the wavelet transform decomposes the ECG signal into high and low frequency components using wavelet function. Recomposing the high frequency bands including QRS complex, we can detect QRS complex more easily ...
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