Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction
EEG Theta/beta ratio (TBR) is conventionally used as a biomarker in childhood Attention-Deficit/Hyperactivity Disorder (ADHD) prediction and treatment. Due to the heterogeneity of ADHD symptoms, several studies have applied machine learning algorithms for enhancing the recognition of ADHD. These m...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://irep.iium.edu.my/98541/6/98541_Prediction%20of%20ADHD%20from%20a%20small%20dataset.pdf http://irep.iium.edu.my/98541/7/98541_Scopus.pdf http://irep.iium.edu.my/98541/ https://link.springer.com/chapter/10.1007/978-3-031-00828-3_10 |
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