Cited 0 time in webofscience Cited 4 time in scopus

Analysis of attention deficit hyperactivity disorder in EEG using wavelet transform and self organizing maps

Analysis of attention deficit hyperactivity disorder in EEG using wavelet transform and self organizing maps
Lee, S.H.[Lee, Seung Hyun]Abibullaev, B.[Abibullaev, Berdakh]Kang, W.-S.[Kang, Won-Seok]Shin, Y.[Shin, Yunhee]An, J.[An, Jinung]
DGIST Authors
Lee, S.H.[Lee, Seung Hyun]; Abibullaev, B.[Abibullaev, Berdakh]; Kang, W.-S.[Kang, Won-Seok]; An, J.[An, Jinung]
Issue Date
International Conference on Control, Automation and Systems, ICCAS 2010, 2439-2442
Article Type
Conference Paper
This paper presents our preliminary study EEG brain signals of children with attention deficit hyperactivity disorder (ADHD) in order to support a computer assisted diagnostic system. The EEG signals were recorded from 13 children including normal and children diagnosed with ADHD. We analyzed the signals with multilevel discrete wavelet decompositions in order to extract brain signal power spectrum features. A wavelet thresholding technique was employed to further improve the data quality by denoising the artifacts. In order to discriminate the attention level in electrical brain activity of ADHD children, we used a standard Self-Organizing Map clustering technique with wavelet coefficient input features. Clustering results varied depending on the wavelet feature extraction stage, particularly it was noticed that accuracy was dependent on the type of the used wavelet function. The clustering results demonstrate that 'sym7' wavelet function provides better input feature localization to provide the accurate separation of normal and disordered children's brain activity. ©ICROS.
Institute of Control, Robotics and Systems
Related Researcher
There are no files associated with this item.
Division of IoT∙Robotics Convergence Research2. Conference Papers
ETC2. Conference Papers
Convergence Research Center for Wellness2. Conference Papers

qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.