{"title":"The Influence of Virtual Reality on the Autonomic Nervous System","authors":"Penio Lebamovski","doi":"10.55630/stem.2023.0505","DOIUrl":null,"url":null,"abstract":"This article presents a new way to research the autonomic nervous system (ANS), primarily for people who cannot undergo physical exercise due to health reasons. The main idea is to determine heart rate variability only through the ANS, which includes sympathetic and parasympathetic nerves. The proposed approach is related to using a Holter device to record the intervals between heartbeats and a 3D virtual reality device by applying a virtual helmet (Photontree Pro 3D). A spectral method was used for heart rate variability (HRV) analysis. During heavy physical work or sports (running), the autonomic nervous system (sympathetic nervous system) is activated, which decreases the HRV. Similar results are obtained when simulating a stressful situation through a 3D game. A 3D game was developed using the Java programming language (Java3D) for the conducted experiments. The article shows the results of the comparative analysis of two types of recordings: at rest and during a 3D game (virtual reality). From the obtained results, it can be seen that in a simulated stressful situation, the ANS changes, and from there, the HRV also changes.","PeriodicalId":183669,"journal":{"name":"Innovative STEM Education","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative STEM Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55630/stem.2023.0505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a new way to research the autonomic nervous system (ANS), primarily for people who cannot undergo physical exercise due to health reasons. The main idea is to determine heart rate variability only through the ANS, which includes sympathetic and parasympathetic nerves. The proposed approach is related to using a Holter device to record the intervals between heartbeats and a 3D virtual reality device by applying a virtual helmet (Photontree Pro 3D). A spectral method was used for heart rate variability (HRV) analysis. During heavy physical work or sports (running), the autonomic nervous system (sympathetic nervous system) is activated, which decreases the HRV. Similar results are obtained when simulating a stressful situation through a 3D game. A 3D game was developed using the Java programming language (Java3D) for the conducted experiments. The article shows the results of the comparative analysis of two types of recordings: at rest and during a 3D game (virtual reality). From the obtained results, it can be seen that in a simulated stressful situation, the ANS changes, and from there, the HRV also changes.
本文提出了一种研究自主神经系统(ANS)的新方法,主要针对因健康原因不能进行体育锻炼的人。主要的想法是仅通过包括交感神经和副交感神经的ANS来确定心率变异性。所提出的方法与使用Holter设备通过应用虚拟头盔(Photontree Pro 3D)记录心跳和3D虚拟现实设备之间的间隔有关。采用谱法分析心率变异性(HRV)。在繁重的体力劳动或运动(跑步)中,自主神经系统(交感神经系统)被激活,从而降低HRV。通过3D游戏模拟压力情况也得到了类似的结果。使用Java编程语言(Java3D)开发了一个3D游戏来进行实验。这篇文章展示了两种类型的录音的对比分析结果:在休息和在3D游戏(虚拟现实)。从得到的结果可以看出,在模拟应激情况下,ANS发生了变化,HRV也随之发生了变化。