Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm

Peak detection is a significant step in analyzing the electroencephalography (EEG) signal because peaks may represent meaningful brain activities. Several approaches can be used for peak point detection such as time domain, frequency domain, time-frequency domain, and nonlinear approaches. The...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Asrul, Adam, Norrima, Mokhtar, Marizan, Mubin, Mohd Ibrahim, Shapiai
التنسيق:	Conference or Workshop Item
اللغة:	English
منشور في:	2014
الموضوعات:	TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:	http://umpir.ump.edu.my/id/eprint/9084/1/fkee-2014-zuwairie-feature%20selection%20and%20classifier.pdf http://umpir.ump.edu.my/id/eprint/9084/ https://schttp://www.researchgate.net/profile/Asrul_Adam/publication/269220024_Feature_Selection_and_Classifier_Parameter_Estimation_for_EEG_Signal_Peak_Detection_using_Gravitational_Search_Algorithm/links/548446d00cf25dbd59eb13e8.pdf
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