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作者:

Yang, Xiaojing (Yang, Xiaojing.) | Yang, Yang (Yang, Yang.) | Zhong, Ning (Zhong, Ning.)

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摘要:

According to the Matched Filtering Principle, propose a new method of convolution power spectrum (CPS) to detect the activity of brain function. Firstly, calculate the fMRI time series and the convolution of fMRI image signal of experimental model. Then PSD of convolution signal is used to quantitative analysis the energy changes of blood-oxygen-level dependent (BOLD) signal. To compare the SPM PS SVM, experimental results show that CPS algorithm is effective to analysis the brain active information about fMRI time series. © Copyright 2016 American Scientific Publishers All rights reserved.

关键词:

Blood Brain Convolution Power spectrum Spectrum analysis Support vector machines Time series Time series analysis

作者机构:

  • [ 1 ] [Yang, Xiaojing]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yang, Xiaojing]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
  • [ 3 ] [Yang, Xiaojing]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
  • [ 4 ] [Yang, Xiaojing]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan
  • [ 5 ] [Yang, Yang]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Yang, Yang]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
  • [ 7 ] [Yang, Yang]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
  • [ 8 ] [Yang, Yang]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan
  • [ 9 ] [Zhong, Ning]Institute of International WIC, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Zhong, Ning]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing; 100124, China
  • [ 11 ] [Zhong, Ning]Beijing International Collaboration Base on Brain Informatics and Wisdom, Beijing; 100124, China
  • [ 12 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institution of Technology, Maebashi; 371-0816, Japan

通讯作者信息:

  • [yang, xiaojing]institute of international wic, beijing university of technology, beijing; 100124, china;;[yang, xiaojing]beijing international collaboration base on brain informatics and wisdom, beijing; 100124, china;;[yang, xiaojing]department of life science and informatics, maebashi institution of technology, maebashi; 371-0816, japan;;[yang, xiaojing]beijing key laboratory of magnetic resonance imaging and brain informatics, beijing; 100124, china

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来源 :

Journal of Computational and Theoretical Nanoscience

ISSN: 1546-1955

年份: 2016

期: 8

卷: 13

页码: 5524-5529

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:198

被引次数:

WoS核心集被引频次: 0

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ESI高被引论文在榜: 0 展开所有

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