Can Virtual Reality be used as a significant stressor for studies using ECG?
|Author/s||Scherz, Wilhelm Daniel
Corcoba Magaña, Víctor
Martínez Madrid, Natividad
Ortega Ramírez, Juan Antonio
|Department||Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos|
|Abstract||In previous studies, we used a method for detecting stress that was based exclusively on heart rate and ECG for differentiation between such situations as mental stress, physical activity, relaxation, and rest. As a response ...
In previous studies, we used a method for detecting stress that was based exclusively on heart rate and ECG for differentiation between such situations as mental stress, physical activity, relaxation, and rest. As a response of the heart to these situations, we observed different behavior in the Root Mean Square of the Successive differences heartbeats (RMSSD). This study aims to analyze Virtual Reality via a virtual reality headset as an effective stressor for future works. The value of the Root Mean Square of the Successive Differences is an important marker for the parasympathetic effector on the heart and can provide information about stress. For these measurements, the RR interval was collected using a breast belt. In these studies, we can observe the Root Mean Square of the successive differences heartbeats. Additional sensors for the analysis were not used. We conducted experiments with ten subjects that had to drive a simulator for 25 minutes using monitors and 25 minutes using virtual reality headset. Before starting and after finishing each simulation, the subjects had to complete a survey in which they had to describe their mental state. The experiment results show that driving using virtual reality headset has some influence on the heart rate and RMSSD, but it does not significantly increase the stress of driving.
|Citation||Scherz, W.D., Corcoba Magaña, V., Seepold, R., Martínez Madrid, N. y Ortega Ramírez, J.A. (2020). Can Virtual Reality be used as a significant stressor for studies using ECG?. Procedia Computer Science, 176, 3255-3262. https://doi.org/10.1016/j.procs.2020.09.123.|