Instrumented i-GRASP for the assessment and treatment of upper extremity function after neurological injury

神经系统疾病，如中风和创伤性脑损伤， 使用手臂和手进行日常生活基本活动的能力。我们先前已经 制定了分级重复手臂补充计划（GRASP）， 一项多中心随机对照试验显示， 通过数百个手臂，手和手指的重复，以及加强中风 演习它被用于超过3000个站点，是加拿大中风最佳实践的一部分 建议.在理想的监管条件下，该计划是有效的，但 坚持是有问题的，因为很难跟踪许多重复， 很难知道如何不断地使任务变得更难，并且缺乏激励的反馈 个人做练习。I-GRASP将通过开发一种仪器化的 该平台源自基于证据的GRASP计划，患者将能够1） 测量自己的上肢功能，2）通过渐进式运动改善功能 练习和3）并接受反馈，以帮助激励他们的进步。我们的团队是 工程师和医疗保健研究人员与我们的合作伙伴之间的合作包括 一家可穿戴传感器公司、一家公共康复医院和一家私人康复医院。 临床以确保我们产品的相关性。所提出的技术来衡量，激励 增强手部功能将改善中风患者的生活， 适用于其他有手部问题的人群。该项目还将推进 与智能材料和可穿戴传感器相关的技术。最后，这项研究有很大的 行业合作伙伴Texavie的商业化潜力，并可能开辟新的 医疗服务提供者和中风患者可以获得的康复技术市场 幸存者

Neurological conditions such as stroke and traumatic brain injury can seriously impair ones ability to use their arm and hands for essential activities of daily living. We have previously developed the Graded Repetitive Arm Supplementary Program (GRASP) which has been shown in a multi-site randomized controlled trial to improve upper extremity function after stroke through hundreds of repetitions of the arm, hand and fingers, as well as strengthening exercises. It is utilized in over 3000 sites and is part of the Canadian Stroke Best Practice Recommendations. Under ideal supervisory conditions, the program is effective, but adherence is problematic as it is difficult to keep track of the many repetitions, can be challenging to know how to continually make the tasks harder, and lacks feedback to motivate individuals to do the exercise. I-GRASP will solve these issues by developing an instrumented platform derived from the evidence-based GRASP program where patients will be able to 1) measure their own upper extremity function, 2) improve their function through progressive exercises and 3) and receive feedback to help motivate their progress. Our team is a collaboration between engineer and health care researchers and our partners include a wearable sensor company, a public sector rehabilitation hospital, and a private rehabilitation clinic to ensure the relevance of our product. The proposed technology to measure, motivate and enhance hand function will improve the lives of individuals with stroke and will be applicable to other populations with hand problems. The project will also advance technologies related to smart materials and wearable sensors. Lastly, the research has great potential for commercialization by the industry partner Texavie and to potentially open new markets for rehabilitation technology that can be accessed by health providers and stroke survivors.