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Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings

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Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings

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Mateo, J.; Rieta Ibañez, JJ. (2012). Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings. Journal of Medical Engineering and Technology. 36(2):90-101. doi:10.3109/03091902.2011.636859

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35927

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Title: Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Grupo de ingeniería en bioseñales e imagen radiológica
Issued date:
Abstract:
The electrocardiogram (ECG) is the most widely used method for diagnosis of heart diseases, where a good quality of recordings allows the proper interpretation and identification of physiological and pathological phenomena. ...[+]
Subjects: Biomedical signals , Muscle and baseline noise , Powerline interference , Electrocardiogram , Artificial neural network
Copyrigths: Cerrado
Source:
Journal of Medical Engineering and Technology. (issn: 0309-1902 )
DOI: 10.3109/03091902.2011.636859
Publisher:
Informa Healthcare
Publisher version: http://dx.doi.org/10.3109/03091902.2011.636859
Type: Artículo

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