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

SBIR 第一阶段：用于被动健康监测的互联网连接尿液分析系统

• 批准号: 1913434
• 负责人: Brian Bender
• 金额: $ 22.45万
• 依托单位: Bender Tech, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2020-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1913434&HistoricalAwards=false
• 关键词: SBIR; Phase; Internet; Connected; Urinalysis

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to help manage and prevent non-communicable chronic diseases by developing a passive health and wellness monitoring system for personalized dietary recommendations, early disease diagnosis, and remote patient monitoring. According to the 2019 Global Burden of Disease Update, suboptimal dietary intake is responsible for more than 1 out of every 5 deaths globally, making it the greatest preventable disease risk factor. Decades of research have shown that tracking nutritional intake can lead to better awareness of dietary intake patterns and improve nutritional health. Yet diet-tracking mobile apps, despite their popularity, are inaccurate and overly burdensome and thus often lead to quitting. In addition, waiting for health complications to develop before diagnosing most chronic diseases reduces healthspans and leads to more costly healthcare interventions. There is a societal need for a passive nutrition and health-monitoring device for helping individuals recognize patterns of malnutrition on a routine basis for guiding lifelong behavior change and identifying biomarkers of disease early. This platform technology will reduce morbidity and mortality associated with most major chronic diseases, decrease healthcare costs, and reduce lost productivity.The proposed project will address the feasibility of integrating a wireless, electrochemical biosensor testing platform into a toilet for passive urinalysis testing. Better preventative healthcare requires individuals to monitor health and wellbeing routinely, long before clinical problems arise. Yet getting individuals to perform consistent, routine diagnostic evaluations is exceedingly difficult. The most effective route for routine monitoring of health data is through pervasive testing where the individual?s burden is as nonexistent as possible. There is a clinical and commercial opportunity for ubiquitous, passive, and routine home urine testing using an internet-connected smart-toilet equipped with biosensors for accurate urine-testing. Key technical hurdles include the development of a system capable of reliable urine collection and dilution normalization, contamination accounting, the development of a robust mechatronic sub-assembly for passively retrieving, translating, testing, and storing disposable electrochemical biosensors, biometric user identification, and integration of wireless data transfer capabilities with smart power management. Error rates associated with false test cycle starts, faulty biosensor manipulation, dilution and contamination accounting, and false user identification will be quantified, and the electrochemical biosensors? in situ test results will be compared against benchtop equivalents.?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.

这项小型企业创新研究（SBIR）I阶段项目的更广泛影响是通过开发一个被动健康和健康监测系统来帮助管理和预防非通讯的慢性疾病，以进行个性化饮食建议，早期疾病诊断和远程患者监测。根据2019年全球疾病更新的负担，次优饮食摄入量是全球每5例死亡中超过1人的造成的，这使其成为最大的可预防疾病危险因素。数十年的研究表明，追踪营养摄入可以提高人们对饮食摄入模式的了解并改善营养健康。然而，饮食跟踪移动应用程序尽管很受欢迎，但却是不准确和过于繁重的，因此经常导致退出。此外，在诊断大多数慢性疾病之前，要等待健康并发症发展会减少健康状况，并导致更为昂贵的医疗干预措施。社会需要被动营养和健康监控装置，以帮助个人在常规的基础上识别营养不良的模式，以指导终身行为改变并尽早确定疾病的生物标志物。该平台技术将降低与大多数主要慢性疾病相关的发病率和死亡率，降低医疗保健成本并降低生产力降低。拟议的项目将解决将无线，电化学生物传感器测试平台整合到被动尿液分析测试的厕所中的可行性。更好的预防性医疗保健要求个人在临床问题出现之前就经常监测健康和福祉。然而，让个人执行一致，常规的诊断评估非常困难。例行监测健康数据的最有效途径是通过普遍测试，在某人的负担尽可能不存在的地方。使用配备了互联网连接的智能木材，配备了互联网连接的智能材料，可用于精确的尿液测试，可用于无处不在，被动和常规的家庭尿液测试。关键的技术障碍包括开发能够可靠的尿液收集和稀释归一化的系统，污染会计，开发可被动检索，翻译，测试和存储可用的电化学生物传感器的可被动检索，翻译，测试，生物识别用户识别以及无线数据传输能力与智能动力管理的集成。与错误的测试周期启动相关的错误率，生物传感器操纵错误，稀释和污染会计以及错误的用户识别将被量化以及电化学生物传感器？原位测试结果将与基准等效物进行比较。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准来评估值得支持的。