Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion

Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion

Human brain has a complex structure with the billions of neurons, so it is a difficult and challenging task to predict the behavior of human brain. Different methods and classifiers are used to measure and classify the brain activities with higher accuracy and reliability. In this paper, instead of...

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Bibliographic Details
Main Authors: Raheel Zafar, Sarat C. Dass, Aamir Saeed Malik, Nidal Kamel, M. Javvad Ur Rehman, Rana Fayyaz Ahmad, Jafri Malin Abdullah, Faruque Reza
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
fMRI
EEG
likelihood ratio test
SVM
features
classification
Online Access:https://ieeexplore.ieee.org/document/7913595/

Internet

https://ieeexplore.ieee.org/document/7913595/

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