An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study

The study presents a novel VR-based experimental setup that allows a systematic and individualized assessment of stress responses, paving the way for future research to identify features that confer stress resilience and help individuals manage stress effectively. While our conceptual model highlights the role of HRV in providing valuable insights into stress responses, future research will involve multivariate and machine learning analyses to predict individual stress responses based on comprehensive sensor data, including EMG and the VR-based behavioral data, ultimately guiding personalized stress management interventions.

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Publication Details

Journal
JMIR Formative Research
Published
2025-03-04
DOI
https://doi.org/10.2196/64492
Citations
2
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
2.78
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article

An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study

Vincent Gagnon Shaigetz, Nusrat Choudhury, Melanie Segado, Joshua A. Granek et al.
2 citations
JMIR Formative Research
Heart Rate Variability and Autonomic Control
2.78
article

An Integrated Platform Combining Immersive Virtual Reality and Physiological Sensors for Systematic and Individualized Assessment of Stress Response (bWell): Design and Implementation Study

Vincent Gagnon Shaigetz, Nusrat Choudhury, Melanie Segado, Joshua A. Granek, Budhachandra Khundrakpam, Jesse Kendall Pazdera
article en
2 citations

Abstract

The study presents a novel VR-based experimental setup that allows a systematic and individualized assessment of stress responses, paving the way for future research to identify features that confer stress resilience and help individuals manage stress effectively. While our conceptual model highlights the role of HRV in providing valuable insights into stress responses, future research will involve multivariate and machine learning analyses to predict individual stress responses based on comprehensive sensor data, including EMG and the VR-based behavioral data, ultimately guiding personalized stress management interventions.

JMIR Formative ResearchVol. 9
Defence Research and Development Canada (CA), National Research Council Canada (CA)
Openalex Percentile: Top 11%
Heart Rate Variability and Autonomic Control
2.78
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