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

该PFI：空气技术翻译项目专注于翻译RestEaZe的全功能原型，RestEaZe是一种腿部穿戴设备，包括电容式和惯性传感器，用于区分睡眠期间的常规腿部运动(GLM)和周期性腿部运动(PLM)。这些腿部运动可能与各种疾病有关，包括不宁腿综合症(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是一款居家睡眠监测产品，它将为用户提供即时、科学的准确视图，了解安静与不安宁的睡眠，以及几个晚上的睡眠变化，以及基于RestEaZe结果开发的改善睡眠的专业互动指南。医生将获得先进的运动和睡眠分析，并以交互图形和数字形式总结患者几天的睡眠情况。目前还没有一种简单的在家测量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)由实际腿部运动定义，周期性睡眠腿部运动(PLM)由脚踝周期性背屈定义。GLM模式揭示了睡眠行为干预的质地和严重性，在该项目中，GLM特征与觉醒风险(GLMA)相关；PLM揭示了可能的医疗状况，如不宁腿综合症(RLS)、心脏疾病和REM(快速眼动)行为障碍。PLM、GLM和GLMA以及睡眠姿势将用于制定PLM/小时、睡眠时间、睡眠中醒来以及安静与不安宁(零碎)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，该系统使用家庭环境中的单点测量系统来识别GLM(腿部运动)、PLMS(足部屈曲)和腿部位置。具体地说，该项目将巴尔的摩县马里兰大学开发的灵活专有脚踝带与约翰·霍普金斯大学开发的专有PLM分析相结合。RestEaZe将成为一项使能技术，用于识别睡眠状态、评估治疗方法，例如口服铁剂、行为疗法、RLS药物，以及识别可能的医疗状况。参与该项目的研究生将暴露在一个类似创业的环境中，在这种环境中，里程碑必须在严格的时间限制内完成。他们还将参加教师研究人员在技术早餐(企业家在巴尔的摩展示他们的原型的活动)等活动期间进行的演示和演示，将他们暴露在创业和商业化的世界中。

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.