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...

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Pengarang-pengarang Utama: Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Asrul, Adam, Norrima, Mokhtar, Marizan, Mubin, Mohd Ibrahim, Shapiai
Format: Conference or Workshop Item
Diterbitkan: 2014
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Capaian Atas Talian: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
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
http://umpir.ump.edu.my/9084/1/fkee-2014-zuwairie-feature%20selection%20and%20classifier.pdf
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