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


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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
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
6 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Technik, Elektrotechnik, Mess-, Steuer- und Regelungstechnik