Enhancing Autism Spectrum Disorder Recognition in EEG Data through Filtering-Driven CNN Approach
Author:
Affiliation:
1. Monta Vista High School,Cupertino,CA,USA
2. Lynbrook High School,San Jose,CA,USA
3. ASDRP,Fremont,CA,USA
4. Pune University,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10444098/10444131/10444503.pdf?arnumber=10444503
Reference16 articles.
1. CNN-Based Model with Feature Integration for Classification of MI EEG Subjects in Brain-Machine Interfaces;Roy;bioRxiv,2022
2. Utilizing Deep Neural Networks for EEG Signal Classification via Gramian Angular Summation Field for Epilepsy Diagnosis;Palani Thanaraj;arXiv:2003.04534
3. Analysing EEG signals for mathematical computations
4. PhysioBank, PhysioToolkit, and PhysioNet
5. Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors
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