University of Groningen Ambulatory assessment of human circadian phase and related sleep disorders from heart rate variability and other non-invasive physiological measurements Gil Ponce, Enrique

University of Groningen

Ambulatory assessment of human circadian phase and related sleep disorders from heart

rate variability and other non-invasive physiological measurements

Gil Ponce, Enrique

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Publication date: 2017

Link to publication in University of Groningen/UMCG research database

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Gil Ponce, E. (2017). Ambulatory assessment of human circadian phase and related sleep disorders from heart rate variability and other non-invasive physiological measurements. University of Groningen.

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IST OF PUBLICATIONS

17.1 J

Gil EA, Aubert XL, Beersma DGM. (submitted), Endogenous circadian phase

estimation using heart rate-derived features extracted from ambulatory electrocardiography and a novel wrist-worn optical heart rate sensor.

Gil EA, Aubert XL, Penzel T, Beersma DGM. (submitted), Altered temporal indices of

heart rate variability in sleep onset insomnia.

Gil EA, Aubert XL, Møst EIS, Beersma DGM. (2013), Human circadian phase

estimation from signals collected in ambulatory conditions using an autoregressive model. Journal of Biological Rhythms 2013, 28(2), 152–163.

17.2 C

Gil EA, Aubert XL, Beersma DGM. (2014), Ambulatory estimation of human circadian

phase using models of varying complexity based on non-invasive signal modalities.

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Gil EA, Aubert XL, Beersma DGM. (2013), Circadian phase estimation of healthy

subjects using heart rate, light and locomotor activity derived features. Meeting of

the European Biological Rhythms Society, Ludwig Maximillians University Munich, Munich, Germany.

Gil EA (2012), Human circadian phase estimation. Resonance and Synchronization Workshop, Lorentz Center, Leiden, NL.

17.3 B

Gil EA (in press), Assessing the state of the human circadian clock in ambulatory

conditions: a review of models driven by non-invasive measurements. Lecture Notes

in Computer Science, State-of-the-Art Surveys, Springer.

17.4 U

Gil EA, Aubert XL, Penzel T, Beersma DGM, Circadian phase estimation of sleep onset