ST Segment Extraction from Exercise ECG Signal Based on EMD and Wavelet Transform
1 College of Biomedical Engineering& Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
2 College of Physics and Electromechanical Engineering, Shaoguan University, Shaoguan, Guangdong, China
Myocardial ischemia is always characterized by the changes in ST complex. But ischemia is not obvious at rest. Only in the state of exercise, abnormal ST will appear. The signal of ST is susceptible to noise interference which causes the inaccuracy of the ST segment detection. Combining the advantages of empirical mode decomposition (EMD), the paper proposes a modified threshold method to filter a serious of noise from exercise ECG. Extracted from the ECG feature, it includes ST segment detection, with wavelet transform. In the end, the method is tested with synthetic exercise data and real exercise ECG data. The results of ST segment detection are accurate and this method can be applied in practical exercise.
Key words: EMD / wavelet transform / ST segment / exercise ECG
© Owned by the authors, published by EDP Sciences, 2015
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