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

Ondřej Klempíř

Ondřej Klempíř

Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno,
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Klempíř, Ondřej
, 
Radim Krupička

Radim Krupička

Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in PragueKladno,
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Krupička, Radim
, 
Eduard Bakštein

Eduard Bakštein

  • Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in PraguePrague,
  • National Institute of Mental HealthKlecany,
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Bakštein, Eduard
 e 
Robert Jech

Robert Jech

Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles UniversityPrague,
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Jech, Robert
  
07 ott 2019
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Pubblicato online: 07 ott 2019
Pagine: 222 - 231
Ricevuto: 20 mar 2019
Accettato: 30 ago 2019
DOI: https://doi.org/10.2478/msr-2019-0029
Parole chiave
© 2019 Ondřej Klempíř et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Lingua:
Inglese
Frequenza di pubblicazione:
6 volte all'anno
Argomenti della rivista:
Ingegneria, Elettrotecnica, Ingegneria dell'automazione, metrologia e collaudo
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