Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach
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07. Okt. 2019
Über diesen Artikel
Online veröffentlicht: 07. Okt. 2019
Seitenbereich: 222 - 231
Eingereicht: 20. März 2019
Akzeptiert: 30. Aug. 2019
DOI: https://doi.org/10.2478/msr-2019-0029
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© 2019 Ondřej Klempíř et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Klempíř, Ondřej
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno
Krupička, Radim
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno
Bakštein, Eduard
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in PraguePrague
National Institute of Mental HealthKlecany
Jech, Robert
Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles UniversityPrague