PFI:AIR - TT: RestEaze: Accessible Measures of Leg Movements during Rest and Sleep

这个PFI: AIR技术翻译项目专注于翻译RestEaZe的全功能原型，RestEaZe是一种由电容式和惯性传感器组成的腿部穿戴设备，用于区分睡眠期间的一般腿部运动（GLM）和周期性腿部运动（PLM）。这些腿部运动可能与多种疾病有关，包括不宁腿综合征（RLS）、注意力缺陷多动障碍（ADHD）和失眠，这些疾病共同影响着数百万成年人和儿童。RestEaZe是一个家庭睡眠监测产品，将给用户一个即时的，科学准确的安静与不安的睡眠，和睡眠的变化，在几个晚上，随着专业开发的互动指南，以改善基于RestEaZe结果的睡眠。医生将获得高级的运动和睡眠分析，以及几天内患者睡眠的交互式图形和数字摘要。目前还没有一种简便的在家测量PLM、GLM和睡眠/腿部位置的方法。睡眠中的腿部运动分为两种表型：睡眠中的一般腿部运动（GLM）是由实际的腿部运动定义的，而睡眠中的周期性腿部运动（PLM）是由脚踝处的脚周期性背屈定义的。GLM模式揭示了睡眠行为干预的质地和严重程度，在本项目中，GLM特征与唤醒风险（GLMA）有关；PLM揭示了可能的医学状况，如不宁腿综合征（RLS）、心脏疾病和REM（快速眼动）行为障碍。PLM、GLM和GLMA将与睡眠姿势一起用于制定PLM/hr、睡眠时间、睡眠期间的清醒情况以及安静与不安（碎片化）睡眠的指标，以支持评估和治疗。为了解决这一技术差距，该项目正在开发一种新型系统RestEaZe，并将其商业化，该系统可以在家庭环境中使用单点测量系统识别GLM（腿部运动）、PLMS（脚屈曲）和腿部位置。具体来说，该项目结合了巴尔的摩马里兰大学开发的柔性专有脚踝带和约翰霍普金斯大学开发的专有PLM分析。RestEaZe将是一项能够识别睡眠状态、评估治疗的技术，例如口服铁、行为治疗、RLS药物，以及识别可能的医疗状况。参与该项目的研究生将接触到一个像创业一样的环境，在那里必须在严格的时间限制内达到里程碑。他们还将参加学院研究人员在技术早餐（一个企业家在巴尔的摩展示他们的原型的活动）等活动中的演讲和演示，让他们接触到创业和商业化的世界。

This PFI: AIR Technology Translation project focuses on translating a fully functional prototype for RestEaZe, a leg-worn device comprising capacitive and inertial sensors to distinguish between general leg movements (GLM) and periodic leg movements (PLM) during sleep. These leg movements can be associated with a variety of medical conditions including restless leg syndrome (RLS), attention deficit hyperactive disorder (ADHD) and insomnia, which collectively affect millions of adults and children. RestEaZe is an in-home sleep monitoring product that will give the user an immediate, scientifically accurate view of quiet vs. restless sleep, and changes in sleep, over several nights along with professionally developed interactive guides for improving sleep based on the RestEaZe results. The doctor will get advanced movement and sleep analyses with interactive graphic and numeric summaries of the patient's sleep over several days. There is currently no easily used at-home way to measure PLM, GLM and sleep/leg position. Leg movements in sleep divide into two phenotypes: General Leg movements during Sleep (GLM) are defined by actual leg movements and periodic leg movements of Sleep (PLM) are defined by periodic dorsiflexion of the foot at the ankle. GLM patterns reveal texture and severity for sleep-behavioral intervention and in this project GLM characteristics are related to arousal risk (GLMA); PLM reveal possible medical conditions such as restless legs syndrome (RLS), cardiac morbidity and REM (rapid eye movement) behavior disorder. PLM, GLM and GLMA along with sleep position will be used to develop metrics for PLM/hr, sleep time, wake during sleep and quiet vs. restless (fragmented) sleep to support evaluations and treatments. To address this technology gap, this project is developing and commercializing a novel system, RestEaZe that identifies GLM (leg movements), PLMS (foot flexions), and leg position using a single point measurement system in a home setting. Specifically, this project combines a flexible proprietary ankle band developed at the University of Maryland, Baltimore County, with proprietary PLM analytics developed at Johns Hopkins University. RestEaZe will be an enabling technology for identifying sleep status, evaluating treatments, e.g. oral iron, behavior therapy, RLS medications, and identifying possible medical conditions. The graduate students involved in the project will be exposed to a start up like environment where milestones have to be met within strict time limits. They will also participate in presentations and demonstrations that the faculty researchers will have during events such as the Technology Breakfast (an event where entrepreneurs demonstrate their prototypes in Baltimore), exposing them to the world of entrepreneurship and commercialization.