Title
Circadian Phase Prediction from Non-Intrusive and Ambulatory Physiological Data.
Abstract
Chronotherapy aims to treat patients according to their endogenous biological rhythms and requires, therefore, knowing their circadian phase. Circadian phase is partially determined by genetics and, under natural conditions, is normally entrained by environmental signals (zeitgebers), predominantly by light. Physiological data such as melatonin concentration and core body temperature (CBT) have be...
Year
DOI
Venue
2021
10.1109/JBHI.2020.3019789
IEEE Journal of Biomedical and Health Informatics
Keywords
DocType
Volume
Temperature measurement,Predictive models,Physiology,Temperature sensors,Autoregressive processes,Schedules,Biomedical measurement
Journal
25
Issue
ISSN
Citations 
5
2168-2194
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Alexis Suarez100.34
Felipe Núñez210111.48
Maria Rodriguez-Fernandez316211.05