Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach
Authors
Ondřej Klempíř
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno
Radim Krupička
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno
Eduard Bakštein
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague
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 University, Prague
DOI: https://doi.org/10.2478/msr-2019-0029 | Journal eISSN: 1335-8871
Language: English
Page range: 222 - 231
Submitted on: Mar 20, 2019
Accepted on: Aug 30, 2019
Published on: Oct 7, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Related subjects:
© 2019 Ondřej Klempíř, Radim Krupička, Eduard Bakštein, Robert Jech, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.