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Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals
Myocardial infarction (MI) is detected using electrocardiography (ECG) signals. Machine learning (ML) models have been used for automated MI detection on ECG signals. Deep learning models generally yield high classification performance but are computationally intensive. We have developed a novel mul...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702788/ https://www.ncbi.nlm.nih.gov/pubmed/36467277 http://dx.doi.org/10.1007/s13042-022-01718-0 |