Identification of Post-Stroke Patients from Significant Variable Electroencephalogram Signals Using Multiple 2D-Convolutional Neural Networks
Author:
Affiliation:
1. Universitas Jenderal Achmad Yani,Dept of Informatics,Cimahi,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9970201/9970202/09970227.pdf?arnumber=9970227
Reference17 articles.
1. The Design of Stroke EEG Channel Selection System Using Spatial Selection Method;utami;Proceedings - 2021 IEEE International Conference on Industry 4 0 Artificial Intelligence and Communications Technology IAICT 2021,0
2. Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding
3. EEG-based Neglect Detection for Stroke Patients
4. Post-Stroke Identification of EEG Signal Using Wavelet Filters and 2D-Convolutional Neural Networks
5. Post-Stroke Recognition Based on EEG Using PCA and Recurrent Neural Networks
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