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  • Open Access


    An Exploratory Investigation of Difficulties in Applying Functional Behavior Assessment and Implementing Behavioral Intervention Plans in ADHD Programs in Saudi Arabia

    Abdulrahman Abdullah Abaoud*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 595-601, 2022, DOI:10.32604/ijmhp.2022.021286

    Abstract Functional behavior assessment (FBA) and behavioral intervention plans (BIPs) can be effective for students with attention deficit hyperactivity disorder (ADHD); however, teachers may face difficulties when implementing FBA procedures and, in turn, BIPs because of lack of time, insufficient training, and multiplicity of beliefs. Thus, it is important to identify the difficulties teachers may face and the obstacles that can deter them from implementing intervention plans. This is a worthwhile endeavor because nearly all classrooms will have students with behavioral problems who will benefit from specifically designed educational interventions. This study aimed to identify the… More >

  • Open Access


    Machine Learning Based Framework for Classification of Children with ADHD and Healthy Controls

    Anshu Parashar*, Nidhi Kalra, Jaskirat Singh, Raman Kumar Goyal

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 669-682, 2021, DOI:10.32604/iasc.2021.017478

    Abstract Electrophysiological (EEG) signals provide good temporal resolution and can be effectively used to assess and diagnose children with Attention Deficit Hyperactivity Disorder (ADHD). This study aims to develop a machine learning model to classify children with ADHD and Healthy Controls. In this study, EEG signals captured under cognitive tasks were obtained from an open-access database of 60 children with ADHD and 60 Healthy Controls children of similar age. The regional contributions towards attaining higher accuracy are identified and further tested using three classifiers: AdaBoost, Random Forest and Support Vector Machine. The EEG data from 19 More >

  • Open Access


    Cognitive Skill Enhancement System Using Neuro-Feedback for ADHD Patients

    Muhammad Usman Ghani Khan1,2, Zubaira Naz1, Javeria Khan1, Tanzila Saba3, Ibrahim Abunadi3, Amjad Rehman3, Usman Tariq4,*

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2363-2376, 2021, DOI:10.32604/cmc.2021.014550

    Abstract The National Health Interview Survey (NHIS) shows that there are 13.2% of children at the age of 11 to 17 who are suffering from Attention Deficit Hyperactivity Disorder (ADHD), globally. The treatment methods for ADHD are either psycho-stimulant medications or cognitive therapy. These traditional methods, namely therapy, need a large number of visits to hospitals and include medication. Neurogames could be used for the effective treatment of ADHD. It could be a helpful tool in improving children and ADHD patients’ cognitive skills by using Brain–Computer Interfaces (BCI). BCI enables the user to interact with the… More >

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