I-Corps: Translation Potential of a Medical Device for Early Detection of Sleep Apnea
I-Corps: Translation Potential of a Medical Device for Early Detection of Sleep Apnea
批准号:
2410765
负责人:
Sunil Sharma
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-04-01 至 2025-03-31
中文摘要
I-Corps项目更广泛的影响是基于一种筛选睡眠呼吸暂停的生物医学设备原型的开发。由于缺乏成本效益和简单的工具在家中筛查睡眠呼吸暂停,以及进行诊断研究的设施有限,睡眠呼吸暂停被诊断不足。这种原型筛选装置可能更具成本效益,更易于使用,同时允许在家中进行多夜测试,这比在指定设施进行单夜测试更准确。这种诊断设备可以产生早期风险数据,从而可以根据疾病的严重程度对患者进行适当的分诊。这个I-Corps项目利用体验式学习和对行业生态系统的第一手调查来评估该技术的翻译潜力。该解决方案是基于开发一种早期检测睡眠呼吸暂停的工具。由于其对心肺健康的广泛影响,有必要采用新的筛查方法来解决当前睡眠呼吸暂停诊断研究的缺点,包括等待时间长和相对较低的产量。尽管自2010年以来,患者就可以进行家庭睡眠测试,但80%的睡眠呼吸暂停病例仍未得到诊断。为此,该算法增强原型利用氧气信号、人口统计学和人体测量学数据等数据来预测家中睡眠呼吸暂停的严重程度。该原型装置有可能解决睡眠呼吸暂停的诊断不足问题,并改善患者的临床结果。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。
英文摘要
The broader impact of this I-Corps project is based on the development of a prototype biomedical device that screens for sleep apnea. Sleep apnea is under-diagnosed due to a lack of cost-effective and simple tools to screen for sleep apnea at home, as well as limited facilities to conduct diagnostic studies. This prototype screening device is potentially more cost-effective and easier to use, while allowing multiple-night testing at home, which is more accurate than single-night tests in designated facilities. This diagnostic device may yield early risk data, which could allow for proper triaging of patients to the sleep lab based on the severity of the disease. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a tool for the early detection of sleep apnea. Due to its wide-ranging impacts on cardiopulmonary health, novel screening methods that address the shortcomings of the current sleep apnea diagnostic studies, including long wait times and relatively low yield, are necessary. Though home sleep testing has been available for patients since 2010, 80% of sleep apnea cases remain undiagnosed. In response, this algorithm augmented prototype utilizes data such as oxygen signals and demographic and anthropometric data to predict the severity of sleep apnea at home. This prototype device has the potential to address the underdiagnosis of sleep apnea and improve clinical outcomes for patients.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Research Initiation: Insitu Pore Water Pressure PredictionsDuring Earthquakes
-
批准号:8808131
-
项目类别:Standard Grant
-
资助金额:$7.07万
-
财政年份:1988
-
负责人:Sunil Sharma
-
依托单位:
海外基金