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 me...
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| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
Springer Nature Switzerland
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/97972/3/97972_Prediction%20of%20ADHD%20from%20a%20Small%20Dataset.pdf http://irep.iium.edu.my/97972/ |
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