چکیده مقاله
Human action is caused by the neuron activities The distributed signals from throughout the scalp, due by these activities,can be recorded and analyzed subsequently Concerning, receiving and recording brain signals can be performed by Electroencephalogram EEG recorder The objective of the present study is to detect the anxiety and depression disorders using EEG signals In order to get this purpose, some statistical features are extracted using wavelet coefficients in timefrequency domain Experimental results using 50 subjects is achieved by 96 percent of accuracy to detect disorder
کلیدواژهها
نویسندگان
Tahereh Najafi
Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Guilan
Babak Abad Fomani
Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Guilan
Asadollah Shahbahrami
Department of Computer Engineering, Faculty of Engineering, University of Guilan, Rasht, Guilan
شیوه ارجاع
Najafi, Tahereh and Abad Fomani, Babak and Shahbahrami, Asadollah,1396,Anxiety and Depression Detection using Statistical Features,2rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات دومین کنفرانس ملی محاسبات نرم1 آذر 1396 · رودسر