Paper Info
Title
Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis.
Abstract
This study was motivated by the needs of precise characterization for the ultradian and circadian rhythmicity of human core body temperature (CBT). The CBT data, two-whole-days' data of two female bed-ridden old aged suffering from cerebral infarction sequelae, was detrended to eliminate the long-term components with periods longer than two days and normalized at first. It was then analyzed by the stationary wavelets transform (SWT) to get the time-frequency information. In the step of SWT, symlet 6 was used, and the approximation waveforms in the 5th, 6th and 7th levels were used to reveal the targeted rhythmicity. The results of the SWT show that SWT can faithfully reveal the time-frequency information of feature elements (peaks and troughs) of waveforms and rhythmicity can be characterized by analyzing temporal information of feature elements.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944555
EMBC
Keywords
Field
DocType
circadian rhythms,circadian rhythm characterization,cerebral infarction sequelae,symlet 6,human core body temperature,ultradian rhythm characterization,wavelet analysis,feature elements,wavelet transforms,targeted rhythmicity,approximation waveforms,time-frequency information,long-term components,medical signal processing,two-whole-days data,biothermics,feature extraction,brain,stationary wavelets transform,time-frequency analysis
Circadian rhythm,Computer science,Electronic engineering,Ultradian rhythm,Wavelet
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Ming Huang1128.04
Toshiyo Tamura221.79
Wenxi Chen32211.15
Kei-ichiro Kitamura43312.20
Tetsu Nemoto53312.20
Shigehiko Kanaya610.70