I-Corps: Brain Health Monitoring via Phenotyping Electroencephalogram Data

这个I-Corps项目是基于深度学习算法开发的，该算法使用了睡眠障碍和其他神经系统疾病患者的数据。我们创建了一个独特的深度神经网络，由卷积和循环模块组成，并在一组独特的10,000临床多导睡眠图（PSG）结果上训练模型，这是迄今为止世界上最大的临床多导睡眠图集合。这个I-Corps项目的广泛影响/商业潜力在于它的简单性和准确性。对患者的好处是使他们和他们的家庭成员能够舒适地进行准确的家庭测试。与此同时，医生将获得有关患者的实时诊断信息，从而进行更早的治疗。对于保险公司和医院来说，随着结果的改善，所需的资源和工作人员减少，成本大大降低。除了医疗保健行业，我们的项目也将很好地转化为普通人群，可穿戴设备和健康跟踪设备正变得越来越普遍。能够回顾一个人的睡眠框架，准确描述包括睡眠阶段在内的多种特征，对消费者很有吸引力。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。

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.