[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124052-en":3,"doc-seo-124052-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124052,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Detecting Brain Activity in ADHD Children and Healthy Controls Using Machine Learning Techniques - Brain activity in ADHD children","This study addresses Attention Deficit Hyperactivity Disorder (ADHD) as a neurodevelopmental condition affecting children and adults, with impairments in attention, impulse control, and hyperactivity. The work investigates electroencephalogram (EEG) characteristics and applies machine learning methods to support objective ADHD diagnosis. Analysis of EEG data indicates predominantly active frontal brain regions and achieves an 80% model accuracy for ADHD classification, highlighting EEG-based digital health potential for clinicians.","Detecting Brain activity in ADHD children and healthy controls  \nusing Machine Learning Techniques  \nBrain activity in ADHD children  \nPriyadarshini Natarajan  \nAuckland University of Technology, Department of Computer Science and Software Engineering [yhr1791@autuni.ac.nz](yhr1791@autuni.ac.nz)  \nSamaneh Madanian  \nAuckland University of Technology, Department of Computer Science and Software Engineering [sam.madanian@aut.ac.nz](sam.madanian@aut.ac.nz)  \nABSTRACT  \nThis study focuses on Attention Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder that affects both children and adults. Individuals with ADHD often struggle with difficulties related to attention, impulse control, and hyperactivity. To learn more about ADHD, researchers have employed a variety of neuroimaging modalities and analysis techniques over the years. To research brain activity in children with ADHD, this study examines the characteristics of Electroencephalogram (EEG) data using Machine Learning Techniques, which can be a trustworthy diagnostic tool for physicians. After analyzing the EEG data obtained, we can infer from this empirical investigation that the frontal regions of the brain are mostly active and model accuracy is 80% for ADHD classification.  \nCCS CONCEPTS  \n• Applied computing ! Life and medical sciences; Health care information systems; • Information systems ! Information systems applications; Decision support systems.  \nKEYWORDS  \nAttention Deficit Hyperactivity Disorder, Machine learning, Electroencephalography (EEG), Digital Health, Data analytics, Data science  \nACM Reference Format:  \nPriyadarshini Natarajan and Samaneh Madanian. 2024. Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques: Brain activity in ADHD children. In 2024 Australasian Computer Science Week (ACSW 2024), January 29–February 02, 2024, Sydney, NSW, Australia. ACM, New York, NY, USA, 6 pages. [https://doi.org/10.1145/](https://doi.org/10.1145/)[ ](https://doi.org/10.1145/)3641142.3641156  \n1 INTRODUCTION  \nAttention-Deficit/Hyperactivity Disorder (ADHD), is a neurodevelopmental condition that affects both children and adults, impacting their ability to focus, control impulses, and regulate energy  \nPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission [and/or a fee. Request permissions from permissions@acm.org](and/or a fee. Request permissions from permissions@acm.org).  \nACSW 2024, January 29–February 02, 2024, Sydney, NSW, Australia  \n© 2024 Copyright held by the owner/author(s) . Publication rights licensed to ACM. ACM ISBN 979-8-4007-1730-7/24/01  \n[https://doi.org/10.1145/3641142.3641156](https://doi.org/10.1145/3641142.3641156)  \nlevels [1] . To enhance health equity and help individuals with ADHD have a better quality of life, timely diagnosis of ADHD is crucial. Timely intervention enables individuals and their families to understand and navigate the challenges associated with the condition. Diagnosis opens the door to tailored interventions, such as behavioural therapies and, when necessary, medication, optimizing the individual’s ability to function in various aspects of life. Moreover, early detection promotes academic and occupational success by addressing specific learning and workplace strategies [2] . Therefore, a timely and accurate diagnosis empowers individuals with ADHD to manage their symptoms effectively, enhancing their overall well-being and quality of life. Recognizing ADHD also diminishes the stigma often attached to","cbCaigK3gjeRZ5sY","https://ap.wps.com/l/cbCaigK3gjeRZ5sY","pdf",534553,1,6,"English","en",105,"# Abstract\n# Introduction\n## ADHD and the need for timely diagnosis\n## EEG as an objective biomarker\n## Machine learning for EEG analysis","[{\"question\":\"What is the main goal of this study on ADHD?\",\"answer\":\"To examine brain activity in children with ADHD and healthy controls using EEG data and machine learning techniques.\"},{\"question\":\"Why is EEG considered useful for ADHD diagnosis?\",\"answer\":\"EEG measures brain electrical activity and can provide objective biomarkers through measurable brainwave patterns and neural activity related to ADHD.\"},{\"question\":\"What result does the study report for ADHD classification?\",\"answer\":\"Frontal brain regions are mostly active, and the model achieves about 80% accuracy for classifying ADHD.\"}]","Detecting Brain Activity in ADHD Children and Healthy Controls Using Machine Learning Techniques - Brain activity in ADHD children | PDF",1785820106,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"detecting-brain-activity-in-adhd-children-and-healthy-controls-using-machine-learning-techniques-brain-activity-in-adhd-children","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/detecting-brain-activity-in-adhd-children-and-healthy-controls-using-machine-learning-techniques-brain-activity-in-adhd-children/124052/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the main goal of this study on ADHD?","Question",{"text":75,"@type":76},"To examine brain activity in children with ADHD and healthy controls using EEG data and machine learning techniques.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why is EEG considered useful for ADHD diagnosis?",{"text":80,"@type":76},"EEG measures brain electrical activity and can provide objective biomarkers through measurable brainwave patterns and neural activity related to ADHD.",{"name":82,"@type":73,"acceptedAnswer":83},"What result does the study report for ADHD classification?",{"text":84,"@type":76},"Frontal brain regions are mostly active, and the model achieves about 80% accuracy for classifying ADHD.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]