کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1122992 | 1488527 | 2012 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using non-linear features of EEG for ADHD/normal participants’ classification
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موضوعات مرتبط
علوم انسانی و اجتماعی
علوم انسانی و هنر
هنر و علوم انسانی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using non-linear features of EEG for ADHD/normal participants’ classification Using non-linear features of EEG for ADHD/normal participants’ classification](/preview/png/1122992.png)
چکیده انگلیسی
This study investigates the non-linear features of electroencephalogram signals regarding ADHD and normal adult participants while performing Continuous Performance Test. Three non-linear features were extracted from the EEG signals. ADHD and age-matched normal groups were investigated separately which revealed that there is a significant relation between clinical presentation of the participants and some non-linear features. The accuracy of 88% and 96% were achieved in classification of clinical and non-clinical participants using one and two features respectively. The best classification result was obtained with a combination of two features in Wavelet-Entropy group.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia - Social and Behavioral Sciences - Volume 32, 2012, Pages 148-152
Journal: Procedia - Social and Behavioral Sciences - Volume 32, 2012, Pages 148-152