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

该PFI：AIR技术翻译项目的重点是翻译RestEaZe的全功能原型，RestEaZe是一种腿戴式设备，包括电容和惯性传感器，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各种医疗状况有关，包括不宁腿综合征（RLS），注意力缺陷多动障碍（ADHD）和失眠，这些疾病共同影响数百万成年人和儿童。RestEaZe是一款家用睡眠监测产品，它将为用户提供一个即时的、科学准确的关于安静与不安睡眠的视图，以及睡眠变化，沿着几个晚上，以及专业开发的基于RestEaZe结果的改善睡眠的交互式指南。医生将获得先进的运动和睡眠分析，并对患者几天的睡眠进行交互式图形和数字总结。目前还没有一种简单的家庭测量方式来测量PLM、GLM和睡眠/腿部位置。睡眠中的腿部运动分为两种表型：一般睡眠期间的腿部运动（GLM）由实际腿部运动定义，周期性睡眠腿部运动（PLM）由脚踝处的足部周期性背屈定义。GLM模式揭示了睡眠行为干预的纹理和严重程度，在该项目中，GLM特征与觉醒风险（GLMA）相关; PLM揭示了可能的医学状况，如不宁腿综合征（RLS），心脏病和REM（快速眼动）行为障碍。 PLM、GLM和GLMA沿着以及睡眠姿势将用于制定PLM/hr、睡眠时间、睡眠期间醒来以及安静与不安（碎片）睡眠的指标，以支持评估和治疗。 为了解决这一技术差距，该项目正在开发和商业化一种新型系统RestEaZe，该系统在家庭环境中使用单点测量系统识别GLM（腿部运动），PLMS（足部屈曲）和腿部位置。具体来说，该项目将巴尔的摩县马里兰州大学开发的灵活专有踝带与约翰霍普金斯大学开发的专有PLM分析相结合。 RestEaZe将是一种用于识别睡眠状态、评估治疗（例如口服铁、行为疗法、RLS药物）和识别可能的医疗状况的技术。 参与该项目的研究生将接触到一个启动的环境，其中里程碑必须在严格的时间限制内满足。他们还将参加教师研究人员将在技术早餐（企业家在巴尔的摩展示原型的活动）等活动中进行的演示和演示，使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.