RT info:eu-repo/semantics/conferenceObject
T1 A new method for detection of rhythmic signals in oscillatory systems
A1 Larriba González, Yolanda
A1 Rueda Sabater, María Cristina
A1 Fernández Temprano, Miguel Alejandro
A1 Peddada, Shyamal
AB The study of biological rhythms is receiving a lot of attention in the literature inrecent years. At the core of this research lies the methodological problem of how todetect rhythmic signals in measured data. Night and day, or dark and light patternsimpact on human health in many different ways. For this reason, researchers arestudying the effect of sleep on the circadian clock in human body during various stagesof life. Important components of this clock are the circadian genes which have rhythmicexpression overtime with phases suitably matching the night and day. Consequently,the identification of rhythmic signals is a problem of considerable interest for biologists.In this work, we develop a novel statistical procedure to detect rhythmic signals inoscillatory systems based on Order Restricted Inference (ORI). This methodology istested both on simulations and on real data bases. Moreover the obtained results arecompared with the most widely extended rhythmicity detection algorithms in literature.
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/22938
UL http://uvadoc.uva.es/handle/10324/22938
LA spa
DS UVaDOC
RD 24-nov-2024