摘要
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.
原文 | ???core.languages.en_GB??? |
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頁(從 - 到) | 202-209 |
頁數 | 8 |
期刊 | Journal of Medical Engineering and Technology |
卷 | 31 |
發行號 | 3 |
DOIs | |
出版狀態 | 已出版 - 5月 2007 |