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

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。该项目将推进一种新型物联网(IoT)智能马桶，用于被动尿液检测。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，这个市场估计价值8.6亿美元。拟议的解决方案将使高质量的护理能够在家里和偏远地区提供，改善传统上服务不足的人群的治疗。它也有可能用于其他医疗条件。该SBIR二期项目将开发一种新的尿液分析系统。系统工程包括：为被动电源、自动化机电一体化和传感器测试设备提供机械和电气工程解决方案，用于开发生物传感器的生物医学工程，用于测量生理性尿液生物标志物的信号分析，与固件和联网数据处理方面相关的软件工程，以及用于根据纵向健康数据进行算法开发的数据科学。技术任务包括：制造和组装兼容性的硬件设计；数据库管理、设备注册、空中(OTA)更新和错误处理的架构开发；以及网络和移动数据集成和可视化的前端开发。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.