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: 1839478
• 负责人: Jimeng Sun
• 金额: $ 5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839478&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 项目基于深度学习算法，该算法使用睡眠障碍和其他神经系统疾病患者的数据开发。我们创建了一个独特的深度神经网络，由卷积模块和循环模块组成，并根据一组独特的 10,000 个临床多导睡眠图 (PSG) 结果训练模型，这是迄今为止世界上最大的临床 PSG 集合。更广泛的影响/商业I-Corps 项目的潜力在于其简单性和准确性。对患者的好处是使他们及其家人能够舒适地进行准确的家庭测试。同时，医生将收到有关患者的实时诊断信息，从而实现更早的治疗。对于保险提供商和医院来说，随着结果的改善以及所需资源和人员的减少，成本大幅降低。除了医疗保健行业外，我们的项目也将很好地推广到普通人群，可穿戴设备和健康跟踪设备在普通人群中变得越来越普遍。能够审查一个人的睡眠框架，准确描述包括睡眠分期在内的多种特征，对消费者很有吸引力。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。