Volume 8 Issue 2
Apr.  2017
Article Contents

Zheng-Yong Pan, Wei-Shuai Lü, Jing-Na Zhang, Wei Liao, Hua-Fu Chen. Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network[J]. Journal of Electronic Science and Technology, 2010, 8(2): 168-172. doi: 10.3969/j.issn.1674-862X.2010.02.015
Citation: Zheng-Yong Pan, Wei-Shuai Lü, Jing-Na Zhang, Wei Liao, Hua-Fu Chen. Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network[J]. Journal of Electronic Science and Technology, 2010, 8(2): 168-172. doi: 10.3969/j.issn.1674-862X.2010.02.015

Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network

doi: 10.3969/j.issn.1674-862X.2010.02.015
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 9082006 and 30770590, Key Research Project of Science and Technology of MOE under Grant No. 107097 and 863 Program under Grant No. 2008AA02Z4080.

More Information
  • Author Bio:

    Zheng-Yong Pan research interests include diffusion tensor imaging, functional magnetic resonance imaging and neural network, chenhf@uestc.edu.cn

  • Received Date: 2009-06-08
  • Rev Recd Date: 2009-10-27
  • Publish Date: 2010-06-25

通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network

doi: 10.3969/j.issn.1674-862X.2010.02.015
Funds:

This work was supported by the National Natural Science Foundation of China under Grant No. 9082006 and 30770590, Key Research Project of Science and Technology of MOE under Grant No. 107097 and 863 Program under Grant No. 2008AA02Z4080.

  • Author Bio:

Abstract: Hemodynamic response during motor imagery (MI) is studied extensively by functional magnetic resonance imaging (fMRI) technologies. To further understand the human brain functions under MI, a more precise classification of the brain regions corresponding to each brain function is desired. In this study, a Bayesian trained radial basis function (RBF) neural network, which determines the weights and regularization parameters automatically by Bayesian learning, is applied to make a precise classification of the hemodynamic response to the tasks during the MI experiment. To illustrate the proposed method, data with MI task performance from 1 subject was used. The results demonstrate that this approach splits the hemodynamic response to different tasks successfully.

Zheng-Yong Pan, Wei-Shuai Lü, Jing-Na Zhang, Wei Liao, Hua-Fu Chen. Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network[J]. Journal of Electronic Science and Technology, 2010, 8(2): 168-172. doi: 10.3969/j.issn.1674-862X.2010.02.015
Citation: Zheng-Yong Pan, Wei-Shuai Lü, Jing-Na Zhang, Wei Liao, Hua-Fu Chen. Estimation of the Hemodynamic Response during Motor Imagery Using Bayesian RBF Neural Network[J]. Journal of Electronic Science and Technology, 2010, 8(2): 168-172. doi: 10.3969/j.issn.1674-862X.2010.02.015

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