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Journal of Medical Engineering & Technology Volume 38, 2014 - Issue 3
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Research Article

EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method

Ali GhaffariCardioVascular Research Group (CVRG), Department of Mechanical Engineering TehranIran
&
H. Ebrahimi OrimiDepartment of Mechanical Engineering, Faculty of Mechanical Engineering, K. N. Toosi University of Technology TehranIranCorrespondence[email protected]
Pages 146-155 | Received 27 Sep 2013, Accepted 30 Jan 2014, Published online: 03 Mar 2014

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H. Ebrahimi Orimi, M. Esmaeili, A. Refahi Oskouei, S. A. Mirhadizadehd & P. W. Tse. (2017) Defect detection of helical gears based on time–frequency analysis and using multi-layer fusion network. Nondestructive Testing and Evaluation 32:4, pages 363-380.
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Jiseon LeeBSBS, Junhee ParkPhDPhD, Sejung YangPhDPhD, Hani KimBSBS, Yun Seo ChoiMSMS, Hyeon Jin KimMDMD, Hyang Woon LeeMD, PhDMD, PhD & Byung-Uk LeePhDPhD. (2017) Early Seizure Detection by Applying Frequency-Based Algorithm Derived from the Principal Component Analysis. Frontiers in Neuroinformatics 11.
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Shengkun Xie & Sridhar Krishnan. (2017) Model Based Sparse Feature Extraction for Biomedical Signal Classification. International Journal of Statistics in Medical Research 6:1, pages 10-21.
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. Experimental and Clinical Transplantation 15:1.
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