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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579507
