A Virtual Experiment Generator to Replicate Cardiovascular Responses to Acute Mental Stress and Transcutaneous Median Nerve Stimulation

Abstract Cardiovascular arousal to acute mental stressors (AMSs) poses significant risks to health and contributes to cardiovascular and neurological disorders. Transcutaneous median nerve stimulation (TMNS) is an emerging noninvasive intervention with the potential to enable just-in-time mitigation of cardiovascular arousal to acute mental stressors. However, no prior work has addressed how to best control TMNS for this purpose. A critical limitation is the lack of basic knowledge of the dynamics between acute mental stressors and TMNS versus cardiovascular arousal. As an initial step toward investigating closed-loop controlled just-in-time TMNS for mitigating cardiovascular arousal to acute mental stressors, we developed and evaluated a data-driven virtual experiment generator (VEG) which can replicate the dynamics between acute mental stressors and TMNS versus cardiovascular arousal. In terms of a novel synthetic multimodal variable (SMV) intended to serve as feedback for just-in-time TMNS, we derived a fourth-order linear decoupled multi-input-single-output (MISO) representation to replicate the dynamics between acute mental stressors and TMNS as inputs versus SMV as output using data collected from 23 experiments. The representation could (i) replicate SMV responses in all experiments when parameterized with the experiment-specific parametric probability density functions (PDFs) and (ii) generate plausible virtual experiments when parameterized with the experiment-aggregated parametric PDFs. In sum, the VEG has the potential as a virtual platform to develop and evaluate closed-loop controlled just-in-time TMNS for mitigating acute mental stressor-induced cardiovascular arousal with SMV as feedback.

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Publication Details

Journal
Journal of Dynamic Systems Measurement and Control
Published
2025-10-04
DOI
https://doi.org/10.1115/1.4070030
Primary Topic
Anesthesia and Neurotoxicity Research
Type
article
Field-Weighted Citation Impact
0.00

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article

A Virtual Experiment Generator to Replicate Cardiovascular Responses to Acute Mental Stress and Transcutaneous Median Nerve Stimulation

Jesus Antonio Sanchez-Perez, Parham Rezaei, Asim H. Gazi, Jin‐Oh Hahn et al.
Journal of Dynamic Systems Measurement and Control
Anesthesia and Neurotoxicity Research
article

A Virtual Experiment Generator to Replicate Cardiovascular Responses to Acute Mental Stress and Transcutaneous Median Nerve Stimulation

Jesus Antonio Sanchez-Perez, Parham Rezaei, Asim H. Gazi, Jin‐Oh Hahn, Omer T. Inan, Sina Masoumi Shahrbabak, Yuanyuan Zhou, Reza Bahrami, Farhan N. Rahman
article en

Abstract

Abstract Cardiovascular arousal to acute mental stressors (AMSs) poses significant risks to health and contributes to cardiovascular and neurological disorders. Transcutaneous median nerve stimulation (TMNS) is an emerging noninvasive intervention with the potential to enable just-in-time mitigation of cardiovascular arousal to acute mental stressors. However, no prior work has addressed how to best control TMNS for this purpose. A critical limitation is the lack of basic knowledge of the dynamics between acute mental stressors and TMNS versus cardiovascular arousal. As an initial step toward investigating closed-loop controlled just-in-time TMNS for mitigating cardiovascular arousal to acute mental stressors, we developed and evaluated a data-driven virtual experiment generator (VEG) which can replicate the dynamics between acute mental stressors and TMNS versus cardiovascular arousal. In terms of a novel synthetic multimodal variable (SMV) intended to serve as feedback for just-in-time TMNS, we derived a fourth-order linear decoupled multi-input-single-output (MISO) representation to replicate the dynamics between acute mental stressors and TMNS as inputs versus SMV as output using data collected from 23 experiments. The representation could (i) replicate SMV responses in all experiments when parameterized with the experiment-specific parametric probability density functions (PDFs) and (ii) generate plausible virtual experiments when parameterized with the experiment-aggregated parametric PDFs. In sum, the VEG has the potential as a virtual platform to develop and evaluate closed-loop controlled just-in-time TMNS for mitigating acute mental stressor-induced cardiovascular arousal with SMV as feedback.

Journal of Dynamic Systems Measurement and ControlVol. 148(1)
Georgia Institute of Technology (US), Harvard University (US), Harvard University Press (US), University of Puerto Rico-Mayaguez (PR), University of Maryland, College Park (US)
Office of Naval Research
Openalex Percentile: Top 69%
Anesthesia and Neurotoxicity Research
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