Continuous wearable monitor for the detection and release of Freezing of Gait

项目总结/摘要 提出的是一种用于日常社区使用的系统，该系统检测FOG的发生并触发外部 暗示刺激来解冻个体。帕金森病（PD）影响超过一百万人 使其成为美国第二常见的神经退行性疾病。其患病率 预计到2040年将翻一番。超过30%的PD患者会出现步态冻结（FOG）， 一种症状，特征为启动步态的能力和自发性心跳骤停的发作性损害 行走时的移动。FOG的一个奇怪的特征是，当外部感觉到 提示（cue）。研究表明，如果线索是外源性的， FOG事件大大减少。假设：我们假设，易于使用，准确，外源排队 响应FOG事件将减少这些事件的持续时间，并最终导致质量的提高， 生活具体目标：在第二阶段，IDL及其合作者将：（1）开发一个生产就绪的系统，（2） 为建议的系统开发配套的移动的应用程序，并完善先前开发的FOG检测 算法，和（3）验证系统的正确操作，并通过实验室和工业证明其有效性。 社区测试

Project Summary/Abstract Proposed is a system for daily in-community use that detects the occurrence of FOG and triggers external cueing stimuli to unfreeze the individual. Significance: Parkinson's disease (PD) affects more than one million Americans making it the second-most common neurodegenerative disorder in the US. Its prevalence is expected to double by 2040. More than 30% of all people with PD will develop Freezing of Gait (FOG), a symptom characterized by episodic impairments in the ability to initiate gait and the spontaneous arrest of movement during walking. A curious feature of FOG is that it can be overcome when an external sensory stimulus (cue) is presented. Research has shown that if the cue is exogenously presented, the incidence of FOG events is greatly reduced. Hypothesis: We hypothesize that easy to use, accurate, exogenous queuing in response to FOG events will decrease duration of these events and ultimately lead to improved quality of life. Specific Aims: In Phase II IDL and its collaborators will: (1) Develop a production ready system, (2) Develop a companion mobile app for the proposed system and refine previously developed FOG detection algorithms, and (3) Validate the proper operation of the system and demonstrate its efficacy through lab and in- community testing.