World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT May 2024 Issue has been Published, Kindly check it on

  • WJERT New Impact Factor

    WJERT Impact Factor has been Increased to 7.029 for Year 2024.


    MAY 2024 Issue has been successfully launched on 1 MAY 2024.




Swapnali Ashok Chaudhari*, Bharti Waman Gawali and Leena Yogesh Bhole


Attention Deficit Hyperactivity Disorder (ADHD) is common mental and behavioral illness in children and teenagers. It persists into adult-hood, causing disability in people of all ages. If left misdiagnosed, un-treated can progress to mental illness. Clinicians prefer variety of rat-ing scales based on psychological assessment for diagnosis. Patients are recommended various therapies in accordance with their scale val-ues. Amongst the mentioned therapies, neurofeedback is emerging therapy for diagnosing brain related diseases. The goal of neurofeedback training is to detect any abnormalities in brain signals as well as person's behavioral and cognitive performance. EEG is the most well-known and effective way for acquiring brain signals from a wide range of sources. This article focuses on research about commonly used diagnostic and therapeutic techniques, emphasizing neurofeedback training's methodological features based on computa-tional techniques. Although psychological variables must be considered, we may say that EEG can be used as an associative modality for ADHD assessment due to its accuracy.

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