CRII: CPS: Wearable-Machine Interface Architectures

手腕佩戴的可穿戴设备在各种模式和环境下提供了丰富的脉动生理数据集。一项尚未开发的能力是，由手腕佩戴的可穿戴设备收集的脉动生理时间序列可以用于恢复内部大脑动力学。本项目的目标是展示与精神压力相关的可穿戴机器接口(WMI)架构，以及它们在跟踪疲劳和唤醒状态方面的潜在应用。使用手腕可穿戴设备破译大脑状态将改变与精神压力相关的疾病的诊断和治疗方式。这项研究与教育和外联活动相结合，重点是增加少数群体对科学和工程的参与。这些活动包括为小学生和高中生举办动手STEM活动，接待本科生研究实习生，以及制作教育视频。这项建议提出了两种与心理应激相关的WMI架构的设计类别：(1)从手腕穿戴的可穿戴设备中恢复不需要的刺激触发的脑脉冲的解码器和提供闭合环路间歇刺激以逆转不希望的刺激的不利影响的控制器；以及(2)从手腕穿戴的可穿戴设备中恢复不希望的刺激触发的脉动生理轮廓抑制的解码器和提供闭环间歇刺激以产生所需的脉动生理轮廓的控制器。建议的方法将通过分析与精神应激相关的唤醒和疲劳背景下的皮肤电活动以及皮质醇和促肾上腺皮质激素的同步波动数据来验证。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Wrist-worn wearable devices provide rich sets of pulsatile physiological data under various modalities and circumstances. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. The goal of this project is to present wearable machine-interface (WMI) architectures related to mental stress and their potential applications for tracking fatigue and arousal states. Decoding brain states using wrist-worn wearables will transform how mental-stress-related diseases are diagnosed and treated. The research is integrated with education and outreach activities with an emphasis on increasing the participation of minorities in science and engineering. These activities include hosting hands-on STEM events for elementary school and high school students, hosting undergraduate research interns, and creating educational videos. This proposal presents two design classes of WMI architectures related to mental stress: (1) A decoder that recovers undesired stimuli-triggered brain pulses from wrist-worn wearables and a controller that delivers closed-loop intermittent stimulation to reverse the adverse effect of undesired stimuli; and, (2) a decoder that recovers undesired stimuli-triggered inhibition of pulsatile physiological profile from wrist-worn wearables and a controller that delivers closed-loop intermittent stimulation to generate the desired pulsatile physiological profile. The proposed methods will be validated by analyzing electro-dermal activity as well as concurrent cortisol and adrenocorticotropic hormone pulsatile data in the context of mental-stress-related arousal and fatigue.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.