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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://umpir.ump.edu.my/id/eprint/9084/1/fkee-2014-zuwairie-feature%20selection%20and%20classifier.pdfhttp://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