Automated recognition of epilepsy from EEG signals using a combining space–time algorithm of CNN-LSTM

Intelligent recognition methods for classifying non-stationary and non-invasive epileptic diagnoses are essential tools in neurological research. Electroencephalogram (EEG) signals exhibit better temporal characteristics in the detection of epilepsy compared to radiation medical images like computed...

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Veröffentlicht in:	Scientific reports Jg. 13; H. 1; S. 14876 - 12
Hauptverfasser:	Wang, Xiashuang, Wang, Yinglei, Liu, Dunwei, Wang, Ying, Wang, Zhengjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 08.09.2023 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114 631/114/116 631/114/116/1925 631/378 692/699 Algorithms Classification Computed tomography Deep learning EEG Electroencephalography Epilepsy Epilepsy - diagnostic imaging Humanities and Social Sciences Humans Learning algorithms Long short-term memory Machine learning Magnetic resonance imaging multidisciplinary Neural networks Neural Networks, Computer Science Science (multidisciplinary) Working conditions
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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