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

Title
Analysis of attention deficit hyperactivity disorder in EEG using wavelet transform and self organizing maps
Authors
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
2010
Citation
International Conference on Control, Automation and Systems, ICCAS 2010, 2439-2442
Type
Conference
Article Type
Conference Paper
ISBN
9781424474530
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/3955
Publisher
Institute of Control, Robotics and Systems
Related Researcher
Files:
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Collection:
Division of IoT∙Robotics Convergence Research2. Conference Papers
ETC2. Conference Papers
Convergence Research Center for Wellness2. Conference Papers


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