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...

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Detalles Bibliográficos
Autores principales: Barua, Prabal Datta, Aydemir, Emrah, Dogan, Sengul, Kobat, Mehmet Ali, Demir, Fahrettin Burak, Baygin, Mehmet, Tuncer, Turker, Oh, Shu Lih, Tan, Ru-San, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
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

Internet

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

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