Acceso abierto

Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach


Cite

Ondřej Klempíř
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno
Radim Krupička
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno
Eduard Bakštein
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in PraguePrague
National Institute of Mental Health, Klecany
Robert Jech
Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles UniversityPrague
eISSN:
1335-8871
Idioma:
Inglés
Calendario de la edición:
6 veces al año
Temas de la revista:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing