I-Corps: Brain Health Monitoring via Phenotyping Electroencephalogram Data

I-Corps：通过表型脑电图数据监测大脑健康

• 批准号: 2034497
• 负责人: Jimeng Sun
• 金额: $ 2.33万
• 依托单位: University of Illinois at Urbana-Champaign
• 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: 2020-01-16 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2034497&HistoricalAwards=false
• 关键词: Corps; Brain; Health; Monitoring; via

This I-Corps project is based on deep learning algorithms developed using data from patients with sleep disorders and other neurological conditions. We created a unique deep neural network, composed of both a convolutional and recurrent modules, and trained the model on a unique set of 10,000 clinical polysomnography (PSG) results, the world's largest collection of clinical PSGs assembled to date.The broader impact/commercial potential of this I-Corps project revolves around its simplicity and accuracy. The benefit for patients is to enable them and their family members to perform accurate home testing with comfort. Meanwhile, physicians would receive real time diagnostic information about their patients, leading to earlier treatment. For insurance providers and hospitals, costs are drastically reduced as outcomes improve and fewer resources and staff are required. Apart from the healthcare industry, our project would also translate well into the general population, where wearables and health tracking devices are becoming commonplace. Being able to review the framework of one's sleep, with an accurate depiction of multiple characteristics including sleep staging, appeals to the consumer.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.

该I-Corps项目基于使用来自患有睡眠障碍和其他神经系统疾病的患者的数据开发的深度学习算法。我们创建了一个独特的深神经网络，由卷积和经常性模块组成，并培训了该模型的独特临床多聚会术（PSG）结果，这是世界上最大的临床PSG集合到迄今为止的临床PSG集合。该I-Corps的更广泛的影响/商业潜力围绕其简单性和精度进行了计划。对患者的好处是使他们及其家人舒适地进行准确的家庭测试。同时，医生将获得有关患者的实时诊断信息，从而导致较早的治疗。对于保险提供者和医院，随着结果的改善，成本大大降低，需要更少的资源和员工。除了医疗保健行业外，我们的项目还可以很好地转化为普通人群，在那里可穿戴设备和健康追踪设备变得司空见惯。能够回顾一个人的睡眠框架，并准确描绘了多种特征，包括睡眠舞台，对消费者的吸引力。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和更广泛影响的评估审查标准来通过评估来获得支持的。