An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection

Research article (Journal of Ambient Intelligence and Humanized Computing, 2021) · cited 48× · AI/ML
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An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection

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An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-arrhythmia-classification-via-ecg-signal-subsampling-and-mutual-information-based-subbands-statistical-feat
MLA “An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-arrhythmia-classification-via-ecg-signal-subsampling-and-mutual-information-based-subbands-statistical-feat.
BibTeX @misc{4ortxyz_an-effective-arrhythmia-classification-via-ecg-signal-subsampling-and-mutual-information-based-subbands-statistical-feat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-arrhythmia-classification-via-ecg-signal-subsampling-and-mutual-information-based-subbands-statistical-feat}, note = {Accessed: 2026-05-24}}
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