A Synthetic Multi-Modal Variable to Capture Cardiovascular Responses to Acute Mental Stress and Transcutaneous Median Nerve Stimulation.

IF 4.4 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Yuanyuan Zhou, Jesse D Parreira, Sina Masoumi Shahrbabak, Jesus Antonio Sanchez-Perez Farhan N Rahman, Asim H Gazi, Omer T Inan, Jin-Oh Hahn
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Abstract

Objective: To develop a novel synthetic multi-modal variable capable of capturing cardiovascular responses to acute mental stress and the stress-mitigating effect of transcutaneous median nerve stimulation (TMNS), as an initial step toward the overarching goal of enabling closed-loop controlled mitigation of the physiological response to acute mental stress.

Methods: Using data collected from 40 experiments in 20 participants involving acute mental stress and TMNS, we examined the ability of six plausibly explainable physio-markers to capture cardiovascular responses to acute mental stress and TMNS. Then, we developed a novel synthetic multi-modal variable by fusing the six physio-markers based on numerical optimization and compared its ability to capture cardiovascular responses to acute mental stress and TMNS against the six physio-markers in isolation.

Results: The synthetic multi-modal variable showed explainable responses to acute mental stress and TMNS in more experiments (24 vs ≤19). It also exhibited superior consistency, balanced sensitivity, and robustness compared to individual physio-markers.

Conclusion: The results showed the promise of the synthetic multi-modal variable as a means to measure cardiovascular responses to acute mental stress and TMNS. However, the results also suggested the potential necessity to develop a personalized synthetic multi-modal variable.

Significance: The findings of this work may inform the realization of TMNS-enabled closed-loop control systems for the mitigation of sympathetic arousal to acute mental stress by leveraging physiological measurements that can readily be implemented in wearable form factors.

捕捉心血管对急性精神压力和经皮正中神经刺激反应的合成多模式变量
目的:开发一种新型合成多模态变量,能够捕捉急性精神压力下的心血管反应以及经皮正中神经刺激(TMNS)的压力缓解效果:开发一种新型合成多模态变量,该变量能够捕捉急性精神压力下的心血管反应以及经皮正中神经刺激(TMNS)的压力缓解效应,以此作为实现闭环控制缓解急性精神压力下生理反应这一总体目标的第一步:我们利用在 20 名参与者身上进行的 40 项涉及急性精神压力和 TMNS 的实验收集的数据,研究了六种可以合理解释的生理标志物捕捉急性精神压力和 TMNS 引起的心血管反应的能力。然后,我们在数值优化的基础上融合这六个生理标记,开发了一个新颖的合成多模态变量,并将其捕捉急性精神压力和 TMNS 下心血管反应的能力与孤立的六个生理标记进行了比较:结果:合成的多模态变量在更多的实验中(24 对 ≤19)显示出对急性精神压力和 TMNS 的可解释反应。结论:结果表明,合成多模态变量在更多的实验中(24 例与≤19 例)显示了可解释的急性精神压力和 TMNS 反应:结果表明,合成多模态变量是测量心血管对急性精神压力和 TMNS 反应的一种有效手段。结论:研究结果表明,合成多模态变量有望成为测量急性精神压力和颞下颌关节紊乱综合征心血管反应的手段,但研究结果也表明,有必要开发一种个性化的合成多模态变量:这项工作的研究结果可为实现 TMNS 闭环控制系统提供参考,该系统可利用可穿戴形式的生理测量来缓解交感神经对急性精神压力的唤醒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering 工程技术-工程:生物医学
CiteScore
9.40
自引率
4.30%
发文量
880
审稿时长
2.5 months
期刊介绍: IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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