Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction

• Main Authors: Sase, Takumi, Othman, Marini
• Format: Conference or Workshop Item
• Language: English
• Published: Springer Nature Switzerland 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/97972/3/97972_Prediction%20of%20ADHD%20from%20a%20Small%20Dataset.pdf; http://irep.iium.edu.my/97972/
• Institution: Universiti Islam Antarabangsa Malaysia

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...