Discrimination of different myocardial infarction stages using wide band electrocardiogram
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- 作者：Dingfei Ge ; gedingfei@163.com" class="auth_mail" title="E-mail the corresponding author ; Wujie Zhou wujiezhou@163.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Myocardial infarction ; Wide band electrocardiogram ; Feature extraction ; Discrimination
- 刊名：Biomedical Signal Processing and Control
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：25
- 期：Complete
- 页码：143-149
- 全文大小：770 K
文摘
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The work studies the feature extraction from wide band electrocardiogram (ECG) signals for classifying myocardial infarction (MI) stages.
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The data for the analysis was taken from Physikalisch Technische Bundesanstalt diagnostic ECG database.
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Multivariable autoregressive modeling technique was employed, and its coefficients were used as features.
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The orthogonal ECG signals and standard ECG signals with different frequency ranges were generated for the analysis.
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MI classification accuracy can be improved by introducing higher frequency components.