Post-Stroke identification of EEG signals using recurrent neural networks and long short-term memory

Post-Stroke identification of EEG signals using recurrent neural networks and long short-term memory

Stroke often causes disability, so patients need rehabilitation for recovery. Therefore, it is necessary to measure its effectiveness. An Electroencephalogram (EEG) can capture the improvement of activity in the brain in stroke rehabilitation. Therefore, the focus is on the identification of several...

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Bibliographic Details
Main Authors:	Wanodya Sansiagi, Esmeralda Contessa Djamal, Daswara Djajasasmita, Arlisa Wulandari
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2021-07-01
Series:	IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:	post-stroke eeg signal wavelet recurrent neural networks long short-term memory
Online Access:	http://ijain.org/index.php/IJAIN/article/view/512

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