• DocumentCode
    424239
  • Title

    A delay partition method for calculating complexity of physiological signals

  • Author

    Zhang, Ai-Hua ; Zheng, Chong-xun ; Pei, Xiao-Mei ; Gu, Jian-Wan

  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2520
  • Abstract
    It is often required to take a partition preprocessing before a complexity analysis is made for biomedical signal time series. Due to noise existing in signal measuring system, a wrong analysis result may be produced, and even the dynamic property of the original signal may be radically distorted in some case. In order to solve such problems, a delay partition method was presented. The proposed method can obtain the reconstructed string objectively representing the original signals. The simulation and electroencephalogram signal complexity analysis have shown that the delay partition method is proper and effective.
  • Keywords
    electroencephalography; medical signal processing; biomedical signal time series; delay partition method; electroencephalogram signal complexity analysis; partition preprocessing; physiological signal complexity calculation; signal measuring system; Biomedical engineering; Delay estimation; Educational institutions; Educational technology; Kinetic theory; Length measurement; Noise measurement; Partitioning algorithms; Sampling methods; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382228
  • Filename
    1382228