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...

Full description

Saved in:
Bibliographic Details
Main Authors: Sase, Takumi, Othman, Marini
Format: Conference or Workshop Item
Language:English
Published: Springer Nature Switzerland 2022
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/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Islam Antarabangsa Malaysia
Language: English