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Meeting Abstract

Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach

MPS-Authors
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Fourcade,  Antonin
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gaebler,  Michael
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Scherf,  Nico
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Jordan, B., Fourcade, A., Gaebler, M., Scherf, N., Loheit, A.-C., & Villringer, A. (2021). Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach. Journal of Computational Neuroscience, 49(Suppl. 1), S193-S194.


Cite as: https://hdl.handle.net/21.11116/0000-000A-E982-C
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