Cargando…
Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function
In view of recent increase of brain computer interface (BCI) based applications, the importance of efficient classification of various mental tasks has increased prodigiously nowadays. In order to obtain effective classification, efficient feature extraction scheme is necessary, for which, in the pr...
Autores principales: | Rahman, Md. Mostafizur, Fattah, Shaikh Anowarul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742515/ https://www.ncbi.nlm.nih.gov/pubmed/29376071 http://dx.doi.org/10.1155/2017/3720589 |
Ejemplares similares
-
An efficient scheme for mental task classification utilizing reflection coefficients obtained from autocorrelation function of EEG signal
por: Rahman, M. M., et al.
Publicado: (2017) -
Interchannel Interference and Mitigation in Distributed MIMO RF Sensing
por: Waqar, Sahil, et al.
Publicado: (2021) -
CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization()
por: Mahmud, Tanvir, et al.
Publicado: (2020) -
A Low-Cost Modular Platform for Heterogeneous Data Acquisition with Accurate Interchannel Synchronization
por: Blanco-Claraco, José Luis, et al.
Publicado: (2015) -
An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space
por: Kundu, Amit Kumar, et al.
Publicado: (2018)