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  • 标题:Cross Correlation Analysis of Multi-Channel Near Infrared Spectroscopy
  • 本地全文:下载
  • 作者:Raul Fernandez Rojas ; Xu Huang ; Keng Liang Ou
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2016
  • 卷号:6
  • 期号:3
  • 页码:23-33
  • DOI:10.5121/csit.2016.60303
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this paper we present the use of a signal processing technique to find dominant channels innear infrared spectroscopy (NIRS). Cross correlation is computed to compare measuringchannels and identify delays among the channels. In addition, visual inspection was used todetect potential dominant channels. The results showed that the visual analysis exposed painrelatedactivations in the primary somatosensory cortex (S1) after stimulation which isconsistent with similar studies and the cross correlation analysis found dominant channels onboth cerebral hemispheres. The analysis also showed a relationship between dominant channelsand neighbouring channels. Therefore, our results present a new method to detect dominantregions in the cerebral cortex using near-infrared spectroscopy. These results have alsoimplications in the reduction of number of channels by eliminating irrelevant channels for theexperiment.
  • 关键词:Signal processing; functional response; time dependant; medical imaging analysis; fNIRS.
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