title: Wavelet meets actogram.
abstract: A variety of methods to determine phase markers and period length from experimental data sets have traditionally assumed a rhythm of fixed period and amplitude. But most biological oscillations exhibit fluctuations in both period and amplitude, leading to the recent interest in the application of wavelet transforms that can measure how rhythms vary over time. Here we examine how wavelet-based methods can be extended to the analysis of conventional actograms, including the detection of onsets in circadian activity and temperature rhythms of rodents.
authors: Department of Mathematics, Amherst College, Amherst, MA 01002, USA. tleise@amherst.edu
authors: Tanya L
authors: TL
authors: Leise
authors: Premananda
authors: P
authors: Indic
authors: Matthew J
authors: MJ
authors: Paul
authors: William J
authors: WJ
authors: Schwartz
mesh_terms: D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D001831:Body Temperature / Q000502:physiology; D002940:Circadian Rhythm / Q000502:physiology*; D009043:Motor Activity / Q000502:physiology; D012377:Rodentia; D058067:Wavelet Analysis
references: Science. 2010 Oct 15;330(6002):379-85
references: 20947768
references: Bioinformatics. 2008 Dec 1;24(23):2794-5
references: 18931366
references: Physiol Behav. 1998 Dec 1;65(3):457-63
references: 9877411
references: Curr Biol. 2002 Sep 17;12(18):1574-83
references: 12372249
references: PLoS Biol. 2009 Mar 10;7(3):e52
references: 19278294
references: J Biol Rhythms. 2011 Aug;26(4):353-62
references: 21775294
references: J Biol Rhythms. 2011 Oct;26(5):454-63
references: 21921299
references: PLoS One. 2010 Apr 22;5(4):e10303
references: 20421981
references: Science. 1977 Apr 15;196(4287):305-7
references: 557840
references: IEEE Trans Biomed Eng. 2000 Jan;47(1):88-95
references: 10646283