ParkinStep: Automated PD Gait and Balance Assessment for Optimizing DBS

描述（由申请人提供）：目标是设计，构建和临床评估ParkinStep，这是一种创新的神经技术，集成了无线运动传感，自动化家庭帕金森病（PD）步态和平衡评估，以及使用基于web的数据库模型集成临床中心数据的深部脑刺激（DBS）参数估计。DBS手术后，在临床进行刺激设置编程以优化治疗效果。上肢运动症状，如震颤、运动迟缓（运动缓慢）和僵硬，通常是对DBS设置的反应。虽然步态和平衡是衡量生活质量的关键组成部分，下肢功能障碍可能会致残，但目前的临床评估有限。刺激完全影响步态和平衡所需的时间可能超过编程会话的典型时间。虽然DBS对震颤的影响可能几乎是即时的，但在调整刺激设置时，获得刺激效果、步态和平衡的反馈可能需要超过三个小时。从编程的角度来看，与其他运动症状相比，刺激设置对步态和平衡的影响尚不清楚，这可能是由于步态中涉及的复杂运动电路。ParkinStep将通过家庭监测来解决这些问题，以充分捕捉刺激的效果和全天可能出现的波动。此外，在家庭测试期间收集的患者数据将不断被编译到符合hipaa的在线数据库中，以自动输出建议的刺激设置。因此，临床医生，无论地理位置或编程经验如何，都可以使用这项服务来改善步态和平衡的DBS编程结果。II期开发的临床系统将1)允许PD对DBS反应的步态和平衡症状的高依从性家庭监测，2)允许临床医生使用刺激参数估计模型优化PD对DBS的反应，以及3)解决患者临床访问的地理差异，以评估步态和平衡障碍。这将通过修改我们现有的Kinesia HomeView系统来实现，以适应下肢磨损和家庭环境的高依从性。该系统将在多中心临床研究中进行评估，以填充在线数据库以训练DBS参数估计模型。最后，开发的模型将用于临床影响研究，以确定ParkinStep系统是否可以比传统方法改善DBS的步态和平衡反应。

DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess ParkinStep, an innovative neurotechnology that integrates wireless motion sensing, automated home-based Parkinson's disease (PD) gait and balance assessment, and deep brain stimulation (DBS) parameter estimation using a web-based database model to integrate data across clinical centers. Following DBS surgery, programming of stimulation settings is performed in the clinic to optimize treatment effectiveness. Upper extremity motor symptoms such as tremor, bradykinesia (slowed movements), and rigidity are typically evaluated in response to DBS settings. Although gait and balance are critical components to quality of life measures and lower extremity dysfunction can be disabling, current in-clinic evaluations are limited. The time required for stimulation to fully impact gait and balance may exceed the typical time of a programming session. While the effect of DBS on tremor may be almost immediate, obtaining feedback on stimulation effectiveness, gait and balance may require in excess of three hours when stimulation settings are adjusted. From a programming standpoint, the effect of stimulation settings on gait and balance is less understood than with other motor symptoms, possibly due to the complex motor circuits involved in gait. ParkinStep will address these concerns through home monitoring to fully capture the effect of stimulation and possible fluctuations experienced throughout the day. In addition, the patient data collected during home tests will be continuously compiled into an online HIPAA-compliant database to automatically output suggested stimulation settings. Therefore, clinicians, independent of geographic location or programming experience, will have access to this service for improved DBS programming outcomes of gait and balance. The clinical system resulting from Phase II development will 1) allow high compliance home monitoring of PD gait and balance symptoms in response to DBS, 2) allow clinicians to optimize PD response to DBS using a stimulation parameter estimation model, and 3) address geographic disparities of patient clinical access to evaluate gait and balance impairment. This will be achieved by modifying our existing Kinesia HomeView system for lower extremity wear and high compliance in the home settings. The system will be evaluated in a multi-center clinical study to populate the online database to train the DBS parameter estimation model. Finally, the developed model will be used in a clinical impact study to determine whether the ParkinStep system can achieve improved gait and balance response to DBS over traditional methods.