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Arrhythmia Classification of ECG Signals Using Hybrid Features
Automatic detection and classification of life-threatening arrhythmia plays an important part in dealing with various cardiac conditions. In this paper, a novel method for classification of various types of arrhythmia using morphological and dynamic features is presented. Discrete wavelet transform...
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| Udgivet i: | Comput Math Methods Med |
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| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Hindawi
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6260536/ https://ncbi.nlm.nih.gov/pubmed/30538768 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/1380348 |
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