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SCH: INT: Personalized Wearable Metabolic Rate Monitors and Learning Social Networks-A Synergy for Smart Connected Health

SCH：INT：个性化可穿戴代谢率监测器和学习社交网络 - 智能互联健康的协同作用

基本信息

批准号：
2014506
负责人：
Pelagia Gouma
金额：
$ 110万
依托单位：
Ohio State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2014506&HistoricalAwards=false
关键词：
SCH INT Personalized Wearable Metabolic

项目摘要

Obesity is a lifestyle-related illness that has become a major social problem nationally and worldwide. The significant prevalence of obesity and overweight poses a major social and public health challenge; particularly as obesity is a root cause for increasing the risk of illnesses from hypertension, to diabetes and stroke, and even cancer. Our objective is to transform health and medical practices through non-invasive, personalized, affordable and continuous diagnostics, allowing users to monitor their fat metabolism and control their weight loss, thereby helping manage obesity or metabolic disorders. This objective will be realized by novel engineering approaches and scientific advancements that relate the monitoring of skin gases to metabolic rates and fat burning. This work aims to validate empirically the new concept of skin-based diagnostics via wearable and wireless device prototypes that are non-intrusive (no microneedles) and not dependent on sweat and can be used continuously and without effort. Major innovations with broad applicability to become enabled by this work include chemo- actuating devices, wearable antennas, RF power harvesting, gas-proof packaging technology, physiological models for metabolic rate, and testing skin acetone as a metabolic biomarker. Novel diagnostics that are affordable, non-invasive, non-intrusive, proving real-time assessment of the metabolic state of the individual. A new workforce will be trained in cross-disciplinary practices. Outreach events and interactive games will target education of local community and students interested in continuous health monitoring and weight management. In summary, this project is expected to revolutionize inexpensive, ubiquitous, non-invasive, non-intrusive, medical diagnostics based on skin-gas detection. This work involves novel engineering approaches (skin-gas sensing, battery-less wearable devices) together with innovations in computer/information science (physiological predictive models) and social cybernetics. At the core of this new wearable monitoring technology sits a novel proposed smart material designed to exhibit reversible actuating behavior when exposed to skin acetone, a chemical known to directly relate to fat metabolism. This material will be integrated with a novel electromagnetic transducer realized on conductive threads to convert shape deformations into voltage changes. Through the integration of circuitry and wireless transmission capabilities all components will be embedded into a wearable skin strip that will be isolated from the environment via advanced water and gas-proof glassy materials. Human subject experiments will be performed to obtain an accurate dynamical relationship between acetone and fat-metabolism and for calibrating and testing the novel monitoring technology. Finally, open source groupware tools harnessing advances in social cybernetics will be employed to process skin acetone measurements from individuals in a group and provide useful feedback on behavioral modifications towards improving health and weight control through the use of social networks. All aspects of the system will be improved iteratively via sample-efficient multi-level optimization algorithms.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.

肥胖是一种与生活方式有关的疾病，已经成为一个主要的社会问题。肥胖和超重的严重流行对社会和公共卫生构成重大挑战；尤其是肥胖是增加高血压、糖尿病、中风甚至癌症等疾病风险的根本原因。我们的目标是通过非侵入性、个性化、负担得起和持续的诊断来改变健康和医疗实践，允许用户监测他们的脂肪代谢并控制他们的体重减轻，从而帮助管理肥胖或代谢紊乱。这一目标将通过将皮肤气体监测与代谢率和脂肪燃烧联系起来的新颖工程方法和科学进步来实现。这项工作旨在通过可穿戴和无线设备原型验证基于皮肤的诊断的新概念，这些原型是非侵入式的（没有微针），不依赖于汗水，可以连续使用，无需费力。这项工作将使具有广泛适用性的主要创新成为可能，包括化学致动装置、可穿戴天线、射频功率收集、防气体包装技术、代谢率生理模型以及作为代谢生物标志物的皮肤丙酮测试。新型诊断方法，价格合理，无创，非侵入性，可实时评估个体的代谢状态。新的劳动力队伍将接受跨学科实践方面的培训。外展活动和互动游戏将针对对持续健康监测和体重管理感兴趣的当地社区和学生进行教育。总之，这个项目有望彻底改变廉价、无处不在、非侵入性、非侵入性、基于皮肤气体检测的医疗诊断。这项工作涉及新颖的工程方法（皮肤气体传感，无电池可穿戴设备）以及计算机/信息科学（生理预测模型）和社会控制论的创新。这种新型可穿戴监测技术的核心是一种新型的智能材料，当暴露于皮肤丙酮（一种已知与脂肪代谢直接相关的化学物质）时，它会表现出可逆的驱动行为。这种材料将与一种新型的电磁换能器集成在导电螺纹上，将形状变形转化为电压变化。通过集成电路和无线传输功能，所有组件都将嵌入可穿戴的皮肤条中，该皮肤条将通过先进的防水和防气玻璃材料与环境隔离。将进行人体实验，以获得丙酮和脂肪代谢之间的准确动态关系，并校准和测试新的监测技术。最后，利用社会控制论进步的开源群件工具将被用于处理群体中个体的皮肤丙酮测量，并通过使用社交网络为改善健康和体重控制的行为修改提供有用的反馈。系统的各个方面将通过样本高效的多级优化算法进行迭代改进。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Perspective—Conducting Polymer Hybrids as Diagnostic Chemosensors

观点——将聚合物杂化物作为诊断化学传感器

DOI：
10.1149/1945-7111/ac5baf
发表时间：
2022
期刊：
Journal of The Electrochemical Society
影响因子：
3.9
作者：
Haynes, A.;Gouma, P. I.
通讯作者：
Gouma, P. I.

Evaluating melting gel coatings for wearable metabolic sensors

评估可穿戴代谢传感器的熔化凝胶涂层

DOI：
10.1016/j.smhl.2022.100337
发表时间：
2022
期刊：
Smart Health
影响因子：
0
作者：
Annerino, Anthony;Narvaez, Kenneth;Joseph, Lorne;Klein, Lisa C.;Gouma, Pelagia-Irene
通讯作者：
Gouma, Pelagia-Irene

Electromagnetic-Based Deformation Monitoring for PANI-CA Breath Acetone Sensors