• DocumentCode
    1592629
  • Title

    Detecting Brain Activity Variation of Rat During Anesthesia by Spectral Entropy

  • Author

    Xu, Jin ; Zheng, Chongxun ; Liu, Xueliang ; Pei, Xiaomei ; Jing, Guixia

  • Author_Institution
    Inst. of Biomed. Eng., Xi´´an Jiaotong Univ.
  • fYear
    2006
  • Firstpage
    6985
  • Lastpage
    6988
  • Abstract
    In order to detect and measure the brain activity variation under different depth of anesthesia (DOA), the spectral entropy (SE) of electroencephalogram (EEG) of the SD rat was studied in this paper. The SE of EEG was measured under different DOA and the relationship between SE and the DOA was analyzed. The SE of EEG will decrease quickly while the DOA is from light to deep and vice versa, so it can be used to distinguish light and deep anesthesia, but it can not distinguish awake and light anesthesia accurately. Compared with power spectrum, we can see the change of SE is opposite to that of power spectrum. Besides EEG SE analysis, the SE variations of four rhythms of EEG (delta, theta, alpha and beta) also are analyzed. The study shows SE of delta rhythm dynamic change leads to the change of EEG and the delta rhythm is the dominant rhythm of rat during anesthesia
  • Keywords
    electroencephalography; entropy; medical signal detection; medical signal processing; EEG; alpha rhythm; anesthesia; beta rhythm; brain activity variation detection; delta rhythm; electroencephalogram; power spectrum; rat; spectral entropy; theta rhythm; Anesthesia; Biomedical engineering; Brain; Direction of arrival estimation; Electrodes; Electroencephalography; Entropy; Low pass filters; Rats; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616113
  • Filename
    1616113