Ambulatory estimation of human circadian phase using models of varying complexity based on non-invasive signal modalities

Author:

Gil Enrique A.,Aubert Xavier L.,Beersma Domien G. M.

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robustness of Optimal Circadian Rhythm Entrainment under Model Perturbation;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

2. Efficient Estimation of the Human Circadian Phase via Kalman Filtering;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. The circadian stimulus-oscillator model: Improvements to Kronauer’s model of the human circadian pacemaker;Frontiers in Neuroscience;2022-09-27

4. Circadian Phase Prediction From Non-Intrusive and Ambulatory Physiological Data;IEEE Journal of Biomedical and Health Informatics;2021-05

5. An Optimal Time for Treatment—Predicting Circadian Time by Machine Learning and Mathematical Modelling;Cancers;2020-10-23

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