• DocumentCode
    3397113
  • Title

    Multiscale analysis of activity rhythms of animals

  • Author

    Wu, B.M. ; Lam, F.K. ; Chan, Francis H Y ; Poon, P.W.F. ; Poon, A.M.S.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    1085
  • Abstract
    The authors propose a multiscale approach to analyze locomotion activity rhythms of animals. The Wavelet Transform (WT) is used to decompose the locomotion signal into different scales. An activity-section segmentation procedure is introduced to segment different scale activity sections following a strategy of from large scale to small scale with the results arranged in a tree description. Furthermore, each activity segment can be characterized by several parameters. Initial study results on mice are presented
  • Keywords
    biomechanics; wavelet transforms; activity-section segmentation procedure; animal locomotion activity rhythms; large scale; locomotion signal decomposition; mice; multiscale analysis; small scale; tree description; wavelet transform analysis; Animals; Data mining; Frequency; Mice; Physiology; Rhythm; Signal resolution; Spectral analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579507
  • Filename
    579507