Classification of cardiac arrhythmias based on alphabet entropy of heart rate variability time series
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- 作者：Alan Jovica ; alan.jovic@fer.hr" class="auth_mail" title="E-mail the corresponding author ; Franjo Jovicb ; fjovic@inet.hr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Nonlinear dynamics ; Entropy ; Classification ; Feature selection ; Cardiac arrhythmia
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：217-230
- 全文大小：1732 K
文摘
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Alphabet entropy (AlphEn), a symbolic dynamics method was applied in HRV analysis.
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Feature selection method symmetrical uncertainty was used to find relevant features.
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Sensitivity of arrhythmia classification for common feature combinations is improved.
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Single best AlphEn feature outperforms other entropies for arrhythmia classification.