Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges
People differ in their susceptibility to stressors, but it is difficult to know a priori who has a higher vulnerability. Here, the authors show that machine learning algorithms applied to locomotor data from people’s exploration of virtual reality scenarios predicts heart rate variability to stress....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2020-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-19736-3 |