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

• 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

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...