首页    期刊浏览 2024年09月22日 星期日
登录注册

文章基本信息

  • 标题:An Improvised Methodology for the Extraction and Analysis of EEG Signals in the Diagnosis of ADHD Syndrome
  • 本地全文:下载
  • 作者:Asha S ; Nisha Palled ; Neeti Singh V
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:6
  • 页码:10422
  • DOI:10.15680/IJIRSET.2017.0606040
  • 出版社:S&S Publications
  • 摘要:A common mental disorder that begins in childhood and can continue through adolescence andadulthood is Attention Deficit Hyperactivity disorder(ADHD). Epilepsy, sleep disorders, coma, encephalopathy, andbrain death are diagnosed using EEG. The first-line method of diagnosis for tumours, stroke and other focal braindisorders is EEG. This paper is presented to predict the probable region of brain that shows abnormality due to ADHDsyndrome. EEG data of five normal and ADHD affected subjects (children) of age group 4-17 years has been collectedfollowing a protocol which contains 3 events-Eyes Blinking, Left hand movement and right hand movement. Thesegmented data is subjected to extract features like, energy that corresponds to Alpha, Beta, Delta and Theta frequencyranges and amplitude levels at different electrode positions. Single map analysis is also performed and distancemeasure is done for comparative analysis between the normal and ADHD affected subject- Manhattan distance .Forimprovised classification Euclidian distance is implemented. This paper work concludes that the posterior region of thebrain, covering electrode positions O1, O2, T3 and T4 could be considered to predict the abnormality during eyeblinking activity. Anterior portion of the brain, covering pre-frontal regions and frontal region of the brain, withelectrode positions FP1 and FP2 could be used to predict the abnormality.
  • 关键词:Attention Deficit Hyperactivity Disorder (ADHD); Electroencephalography (EEG); Distance Measure.
国家哲学社会科学文献中心版权所有