Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges

oleh: João Rodrigues, Erik Studer, Stephan Streuber, Nathalie Meyer, Carmen Sandi

Format: Article
Diterbitkan: Nature Portfolio 2020-11-01

Deskripsi

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.