Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals-Reference-Cited by-同舟云学术

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Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals

Published:2024-07-08 Issue: Volume: Page:1-15
ISSN:2327-9095
Container-title:Applied Neuropsychology: Adult
language:en
Short-container-title:Applied Neuropsychology: Adult

Author:

Deshmukh Manjusha¹,Khemchandani Mahi²,Thakur Paramjit Mahesh³

Affiliation:

1. Computer Engineering Department, Saraswati College of Engineering, Navi Mumbai, India

2. Information Technology, Saraswati College of Engineering, Navi Mumbai, India

3. Mechanical Engineering Department, Saraswati College of Engineering, Navi Mumbai, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23279095.2024.2368655

Reference29 articles.

1. Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset

2. Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning

3. Automatic Identification of Children with ADHD from EEG Brain Waves

4. Diagnosis of Attention Deficit Hyperactivity Disorder with combined time and frequency features

5. A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder

Cited by 1 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. Neural Oscillation Features of ADHD Symptoms in Children: EEG Evidence from Resting State and Oddball Task;2024-08-22

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