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

ISSN： 1464-522X

Source： Journal of Medical Engineering & Technology, Vol.38, Iss.3, 2014-04, pp. : 146-155

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Optimized Feature Selection for Enhanced Epileptic Seizure Detection

Current Medical Imaging Reviews, Vol. 10, Iss. 1, 2014-01 ,pp. : 35-47

Bentham Science Publishers

Access to resources Recommend Favorite

Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals

International Journal of Biomedical and Clinical Engineering (IJBCE), Vol. 6, Iss. 1, 2017-01 ,pp. : 57-66

IGI Global_journal

Access to resources Recommend Favorite

Evidence-Based Combination of Weighted Classifiers Approach for Epileptic Seizure Detection using EEG Signals

International Journal of Knowledge Discovery in Bioinformatics (IJKDB), Vol. 3, Iss. 2, 2012-04 ,pp. : 27-44

IGI Global_journal

Access to resources Recommend Favorite

CRITERIA IN THE SELECTION OF PARKINSONIAN PATIENTS FOR CHEMOPALLIDECTOMY

JOURNAL OF AMERICAN GERIATRICS SOCIETY, Vol. 4, Iss. 12, 1956-12 ,pp. : 1214-1218

John Wiley & Sons Inc

Access to resources Recommend Favorite

Concept for an intelligent anaesthesia EEG monitor

By Nahm W. Stockmanns G. Petersen J. Gehring H. Konecny E. Kochs H.-D. Kochs E.

Medical Informatics and the Internet in Medicine, Vol. 24, Iss. 1, 1999-03 ,pp. : 1-9

Informa Healthcare

Access to resources Recommend Favorite