Zhou Yuanyuan, Parreira Jesse D, Shahrbabak Sina Masoumi, Sanchez-Perez Jesus Antonio, Rahman Farhan N, Gazi Asim H, Inan Omer T, Hahn Jin-Oh
IEEE Trans Biomed Eng. 2025 Jan;72(1):346-357. doi: 10.1109/TBME.2024.3453121. Epub 2025 Jan 15.
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.
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.
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.
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.
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.
开发一种新型合成多模态变量,能够捕捉心血管系统对急性精神应激的反应以及经皮正中神经刺激(TMNS)的应激缓解效果,作为朝着实现对急性精神应激的生理反应进行闭环控制缓解这一总体目标迈出的第一步。
利用从20名参与者的40次实验中收集的数据,这些实验涉及急性精神应激和TMNS,我们研究了六种看似合理的生理标志物捕捉心血管系统对急性精神应激和TMNS反应的能力。然后,我们通过基于数值优化融合这六种生理标志物,开发了一种新型合成多模态变量,并将其捕捉心血管系统对急性精神应激和TMNS反应的能力与单独的六种生理标志物进行比较。
在更多实验中(24次对≤19次),合成多模态变量对急性精神应激和TMNS表现出可解释的反应。与单个生理标志物相比,它还表现出更高的一致性、平衡的敏感性和稳健性。
结果表明合成多模态变量有望作为一种测量心血管系统对急性精神应激和TMNS反应的手段。然而,结果也表明可能有必要开发个性化的合成多模态变量。
这项工作的发现可能有助于通过利用可轻松以可穿戴形式实现的生理测量,实现基于TMNS的闭环控制系统,以减轻对急性精神应激的交感神经兴奋。