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STTR Phase I: Smart IoT Wearable for Remote Monitoring and Assessment of COVID-19 Patients (COVID-19)

STTR 第一阶段：用于远程监测和评估 COVID-19 患者 (COVID-19) 的智能物联网可穿戴设备

基本信息

批准号：
2030629
负责人：
Lloyd Emokpae
金额：
$ 25.6万
依托单位：
LASARRUS CLINIC AND RESEARCH CENTER
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：
2020-12-15 至 2021-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030629&HistoricalAwards=false
关键词：
STTR Phase Smart IoT Wearable

项目摘要

The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project will help COVID-19 patients with a lower burden to the medical system. This project will lead to a low-cost wearable internet of things (IoT) system to enable improved telemedicine. The collected data can be leveraged for public health purposes. The proposed project will develop telemedicine software tools using real-time physiological data from a wearable that is affordable, comfortable, non-invasive, washable, and reusable.This STTR Phase I project will develop a risk stratification mechanism for patients who experience signs and symptoms suggestive of COVID-19 such as dry cough, shortness of breath, and a fever. Such type of lower respiratory tract illness could be managed at home without resorting to hospital admission. Our objectives include development of: 1) a multi-modality system for diagnosing illness conditions for COVID-19 and similar contiguous diseases; 2) a software telemedicine interface with algorithms that learn and assess the need for further hospitalization; 3) a pilot study.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.

小企业技术转让（STTR）第一阶段项目的更广泛影响/商业潜力将帮助COVID-19患者减轻医疗系统的负担。该项目将带来一个低成本的可穿戴物联网（IoT）系统，以改善远程医疗。收集的数据可用于公共卫生目的。该项目将利用可穿戴设备的实时生理数据开发远程医疗软件工具，这种可穿戴设备价格实惠、舒适、无创、可清洗且可重复使用。该STTR第一阶段项目将为出现干咳、呼吸急促和发烧等疑似COVID-19症状和体征的患者开发风险分层机制。这种类型的下呼吸道疾病可以在家中进行管理，而无需住院。我们的目标包括开发：1）用于诊断COVID-19和类似连续疾病的疾病状况的多模态系统; 2）具有学习和评估进一步住院需求的算法的软件远程医疗界面;第三章该奖项反映了NSF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进行评估，被认为值得支持审查标准。