Virtual reality exposure aided-diagnosis system for anxiety disorders: Long short-term memory architecture for three levels of anxiety recognition.

IF 1 4区医学 Q4 ENGINEERING, BIOMEDICAL

Bio-medical materials and engineering Pub Date : 2023-01-01 DOI:10.3233/BME-222542

Wahida Handouzi, Choubeila Maaoui, Alain Pruski

{"title":"Virtual reality exposure aided-diagnosis system for anxiety disorders: Long short-term memory architecture for three levels of anxiety recognition.","authors":"Wahida Handouzi, Choubeila Maaoui, Alain Pruski","doi":"10.3233/BME-222542","DOIUrl":null,"url":null,"abstract":"Background: The COVID-19 pandemic has resulted in increased psychological pressure on mental health since 2019. The resulting anxiety and stress have permeated every aspect of life during confinement.Objective: To provide psychologists with an unbiased measure that can aid in the preliminary diagnosis of anxiety disorders and be used as an initial treatment in cognitive-behavioral therapy, this article introduces automated recognition of three levels of anxiety.Methods: Anxiety was elicited by exposing participants to virtual environments inspired by social situations in reference to the Liebowitz social anxiety scale. Relevant parameters, such as heart rate variability and vasoconstriction were derived from the measurement of the blood volume pulse (BVP) signal.Results: A long short-term memory architecture achieved an accuracy of approximately 98% on the training and test set.Conclusion: The generated model allowed for careful study of the state of seven phobic participants during virtual reality exposure (VRE).","PeriodicalId":9109,"journal":{"name":"Bio-medical materials and engineering","volume":" ","pages":"491-502"},"PeriodicalIF":1.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-medical materials and engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3233/BME-222542","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: The COVID-19 pandemic has resulted in increased psychological pressure on mental health since 2019. The resulting anxiety and stress have permeated every aspect of life during confinement.

Objective: To provide psychologists with an unbiased measure that can aid in the preliminary diagnosis of anxiety disorders and be used as an initial treatment in cognitive-behavioral therapy, this article introduces automated recognition of three levels of anxiety.

Methods: Anxiety was elicited by exposing participants to virtual environments inspired by social situations in reference to the Liebowitz social anxiety scale. Relevant parameters, such as heart rate variability and vasoconstriction were derived from the measurement of the blood volume pulse (BVP) signal.

Results: A long short-term memory architecture achieved an accuracy of approximately 98% on the training and test set.

Conclusion: The generated model allowed for careful study of the state of seven phobic participants during virtual reality exposure (VRE).

查看原文本刊更多论文

焦虑障碍的虚拟现实暴露辅助诊断系统:三级焦虑识别的长短期记忆架构。

背景:2019年以来，COVID-19大流行导致心理健康压力增加。由此产生的焦虑和压力已经渗透到坐月子生活的方方面面。目的:为了给心理学家提供一种公正的测量方法，可以帮助初步诊断焦虑症，并作为认知行为治疗的初始治疗，本文介绍了三个级别的焦虑的自动识别。方法:参照Liebowitz社交焦虑量表，将参与者暴露在由社交情境激发的虚拟环境中，从而引发焦虑。相关参数，如心率变异性和血管收缩是由测量血容量脉冲(BVP)信号得出的。结果:长短期记忆结构在训练集和测试集上的准确率约为98%。结论:生成的模型允许在虚拟现实暴露(VRE)期间仔细研究7名恐惧症参与者的状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Bio-medical materials and engineering 工程技术-材料科学：生物材料

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： The aim of Bio-Medical Materials and Engineering is to promote the welfare of humans and to help them keep healthy. This international journal is an interdisciplinary journal that publishes original research papers, review articles and brief notes on materials and engineering for biological and medical systems. Articles in this peer-reviewed journal cover a wide range of topics, including, but not limited to: Engineering as applied to improving diagnosis, therapy, and prevention of disease and injury, and better substitutes for damaged or disabled human organs; Studies of biomaterial interactions with the human body, bio-compatibility, interfacial and interaction problems; Biomechanical behavior under biological and/or medical conditions; Mechanical and biological properties of membrane biomaterials; Cellular and tissue engineering, physiological, biophysical, biochemical bioengineering aspects; Implant failure fields and degradation of implants. Biomimetics engineering and materials including system analysis as supporter for aged people and as rehabilitation; Bioengineering and materials technology as applied to the decontamination against environmental problems; Biosensors, bioreactors, bioprocess instrumentation and control system; Application to food engineering; Standardization problems on biomaterials and related products; Assessment of reliability and safety of biomedical materials and man-machine systems; and Product liability of biomaterials and related products.