Wavelet Based Features for Classification of Normal, Ictal and Interictal EEG Signals

Author： Fathima Thasneem Bedeeuzzaman M. Joseph Paul K.

Publisher： American Scientific Publishers

ISSN： 2156-7026

Source： Journal of Medical Imaging and Health Informatics, Vol.3, Iss.2, 2013-06, pp. : 301-305

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

Abstract

Related content

Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers

By Mu Tingting

Journal of Digital Imaging, Vol. 21, Iss. 2, 2008-06 ,pp. : 153-169

Springer Publishing Company

Access to resources Recommend Favorite

Intradural spinal tumors: current classification and MRI features

By Abul-Kasim Kasim

Neuroradiology, Vol. 50, Iss. 4, 2008-04 ,pp. : 301-314

Springer Publishing Company

Access to resources Recommend Favorite

Soft-tissue tumors update: MR imaging features according to the WHO classification

By Vilanova Joan Woertler Klaus Narváez José Barceló Joaquim Martínez Salutario Villalón Miguel Miró Josefina

European Radiology, Vol. 17, Iss. 1, 2007-01 ,pp. : 125-138

Springer Publishing Company

Access to resources Recommend Favorite

Three-dimensional CT study on normal anatomical features of atlanto-axial joints

By Duan Shaoyin Ye Feng Kang Jianghe

Surgical and Radiologic Anatomy, Vol. 29, Iss. 1, 2007-02 ,pp. : 83-88

Springer Publishing Company

Access to resources Recommend Favorite

A Modified Undecimated Discrete Wavelet Transform Based Approach to Mammographic Image Denoising

By Matsuyama Eri

Journal of Digital Imaging, Vol. 26, Iss. 4, 2013-08 ,pp. : 748-758

Springer Publishing Company

Access to resources Recommend Favorite