SBIR Phase II: Internet-Connected Urinalysis System for Passive Health Monitoring

该小型企业创新研究第二阶段（SBIR）项目的更广泛影响/商业潜力是帮助远程监测慢性肝病患者，以减少不必要的程序，提高护理质量并降低成本。该项目将推进一种用于被动尿液检测的新型物联网（IoT）智能马桶。 该项目将有助于提供一种被动的方式来监测美国450万肝病患者，估计市场价值为8.6亿美元。拟议的解决方案将能够在家中和偏远地区提供高质量的护理，改善传统上服务不足的人群的治疗。它也可以用于其他医疗条件。该SBIR第二阶段项目将开发一种新型尿液分析系统。系统工程包括集成：机械和电气工程解决方案，为无源供电，自动化机电一体化和传感器测试设备，生物传感器开发的生物医学工程，测量生理尿液生物标志物的信号分析，与固件和互联网连接数据处理相关的软件工程，以及纵向健康数据告知的算法开发的数据科学。 技术任务包括：硬件设计的制造和组装兼容性;开发架构的数据库管理，设备注册，空中（OTA）更新，和错误处理;和前端开发的网络和移动的数据集成和可视化。这个奖项反映了NSF的法定使命，并已被认为是值得支持的评估使用基金会的智力价值和更广泛的影响审查标准。

The broader impact/commercial potential of this Small Business Innovation Research Phase II (SBIR) project is to help remote monitoring of patients with chronic liver disease to reduce unnecessary procedures, improve quality of care, and lower costs. This project will advance a novel internet-of-things (IoT) smart-toilet for passive urine testing. This project will help provide a passive way to monitor the 4.5 million liver disease patients in the United States, an estimated market valued at $860 million. The proposed solution will enable quality care to be delivered at home and in remote locations, improving treatment for traditionally underserved populations. It can potentially be used for other medical conditions as well. This SBIR Phase II project will develop a novel urinalysis system. The systems engineering include integration of: mechanical and electrical engineering solutions to power passive, automated mechatronics and sensor-testing equipment, biomedical engineering for the development of biosensors, signal analysis to measure physiological urinary biomarkers, software engineering related to the aspects of firmware and internet-connected data processing, and data science for algorithm development informed by longitudinal health data. The technical tasks include: hardware design for manufacturing and assembly compatibility; development of architecture for database management, device registration, over-the-air (OTA) updates, and error handling; and front-end development for both web and mobile data integration and visualization.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.