Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1559-0089
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks ; day:13 ; month:8 ; year:2018 ; pages:1-10
Neuroinformatics ; (13.8.2018), 1-10
- Urheber
-
Nejedly, Petr
- Beteiligte Personen und Organisationen
-
Cimbalnik, Jan
Klimes, Petr
Plesinger, Filip
Halamek, Josef
Kremen, Vaclav
Viscor, Ivo
Brinkmann, Benjamin H.
Pail, Martin
Brazdil, Milan
Worrell, Gregory
Jurak, Pavel
SpringerLink (Online service)
- DOI
-
10.1007/s12021-018-9397-6
- URN
-
urn:nbn:de:101:1-2018102718274315748865
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:51 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Nejedly, Petr
- Cimbalnik, Jan
- Klimes, Petr
- Plesinger, Filip
- Halamek, Josef
- Kremen, Vaclav
- Viscor, Ivo
- Brinkmann, Benjamin H.
- Pail, Martin
- Brazdil, Milan
- Worrell, Gregory
- Jurak, Pavel
- SpringerLink (Online service)
Ähnliche Objekte (12)
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Convolutional neural network for drowsiness detection using EEG signals
Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
ConvDip: a convolutional neural network for better EEG source imaging
Retraction Note: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
AnEEG: leveraging deep learning for effective artifact removal in EEG data
CMOS-based intracerebral neural interfaces
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
EPIC: Annotated epileptic EEG independent components for artifact reduction
EEG Artifact Removal in TMS Studies of Cortical Speech Areas
EEG artifact detection using spatial harmonic analysis and support vector machines
Studying functional networks in human brain through intracerebral spontaneous EEG
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Convolutional neural network for drowsiness detection using EEG signals
Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
ConvDip: a convolutional neural network for better EEG source imaging
Retraction Note: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
AnEEG: leveraging deep learning for effective artifact removal in EEG data
CMOS-based intracerebral neural interfaces
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
EPIC: Annotated epileptic EEG independent components for artifact reduction
EEG Artifact Removal in TMS Studies of Cortical Speech Areas
EEG artifact detection using spatial harmonic analysis and support vector machines
Studying functional networks in human brain through intracerebral spontaneous EEG
Automatic electroencephalogram artifact removal using deep convolutional neural networks
Convolutional neural network for drowsiness detection using EEG signals
Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
ConvDip: a convolutional neural network for better EEG source imaging
Retraction Note: Non-sample fuzzy based convolutional neural network model for noise artifact in biomedical images
AnEEG: leveraging deep learning for effective artifact removal in EEG data
CMOS-based intracerebral neural interfaces
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
EPIC: Annotated epileptic EEG independent components for artifact reduction
EEG Artifact Removal in TMS Studies of Cortical Speech Areas
EEG artifact detection using spatial harmonic analysis and support vector machines