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Updated: Jul 15, 2026
Extraction of the EPP Component from the Surface EMG
Published on: December 16, 2009
Long-term ECG signal feature extraction
1Department of Mechanical Engineering, National Central University Chungli, Taiwan, 320, Republic of China. rgg@ms7.hinet.net
Abstract:
This paper proposes a cepstrum coefficient method applying the dynamic time warping technique to extract the feature vectors from long-term ECG signals. Utilizing this method, one can identify the characteristics hidden in an ECG signal; and then classify the signal as well as diagnose the abnormalities. To evaluate this method, the Normal and PACED BEAT data from the MIT/BIH database are used. The results show that the proposed method successfully extracts the corresponding feature vectors, distinguishes the difference and classifies both signals.
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