Classification of Children with Attention Deficit Hyperactivity Disorder Using PCA and K-Nearest Neighbors During Interference Control Task-Reference-Cited by-同舟云学术

Classification of Children with Attention Deficit Hyperactivity Disorder Using PCA and K-Nearest Neighbors During Interference Control Task

Published:2016 Issue: Volume: Page:447-453
ISSN:2213-3569
Container-title:Advances in Cognitive Neurodynamics (V)
language:
Short-container-title:

Author:

Yang Jiaojiao,Li Wenjie,Wang Suhong,Lu Jieru,Zou Ling

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-0207-6_61

Reference9 articles.

1. Hauser, M.E.: Prediction of stimulant response in patients with ADHD utilizing acute medication challenge studies Ph.D. thesis, UMI, Published by Pro Quest LLC (2013)

2. Liu, X., Banich, M.T.: Common and distinct neural substrates of attentional control in an integrated Simon and spatial Stroop task as assessed by event-related fMRI. NeuroImage 22, 1097–1106 (2004)

3. He, L., Hu, Y.: Channel selection by Rayleigh coefficient maximization based genetic algorithm for classifying single-trial motor imagery EEG. Neurocomputing 121, 423–433 (2013)

4. Arvaneh, M.: Optimizing the channel selection and classification accuracy in EEG-Based BCI. IEEE Trans. Biomed. Eng. 58(6), (2011)

5. Zou, L. Hui, P.: Analysis of attention deficit hyperactivity disorder and control participants in EEG using ICA and PCA. ISNN, (2012) Part I, LNCS 7367, 403–410 (2012)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning Approach to ADHD Diagnosis Using Mutual Information and Stacked Classifiers;INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS;2024-03-31

2. Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning;Applied Neuropsychology: Adult;2023-08-30

3. Identification of attention deficit hyperactivity disorder with deep learning model;Physical and Engineering Sciences in Medicine;2023-05-16

4. Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques;IEEE Access;2023

5. Prediction of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning Techniques based on classification of EEG signal;2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS);2022-03-25