SBIR Phase I: Augmented Reality for Arm and Hand Rehabilitation Post-stroke

考虑到个体偏好的多样性和每个人大脑的复杂性，该项目的广泛影响/商业潜力与开发优化学习的教学方法的巨大挑战是一致的。由于中风引起的病变有很大的可变性，导致损伤和对运动治疗的反应有显著差异，因此更需要对中风后患者进行个性化的运动训练。将开发和测试的个性化电子康复系统的商业影响源于它对患者、诊所和保险公司的价值。对于患者，该系统将提供个性化的训练，并且，由于它将封装基于研究的原则，有效和高效的上肢神经康复，它将在很大程度上改善患者的结果。对于诊所来说，由于更好的治疗效果和依从性，该系统将通过增加每位患者的就诊次数，以及在诊所健身房一次培训的患者数量，来增加收入。对于保险公司来说，该系统将生成显示治疗效果的报告，从而验证报销。这个小企业创新研究（SBIR）第一阶段项目正在改善影响运动系统的神经系统疾病，特别是中风，但也包括帕金森病和创伤性脑损伤后的上肢功能。因为治疗这些疾病患者的治疗师只有大约十分之一的时间在诊所进行必要剂量的运动训练，所以患者被要求在家中进行大部分训练。一个新的增强现实训练系统将被开发和测试。该系统将通过展示现实世界中的虚拟目标或物体，自动交付高剂量的功能性任务。使用最先进的运动传感技术，该系统将准确而精确地测量上半身的运动，包括手的张开和闭合。基于这些测量，它将通过提供适应性训练来最大限度地恢复。它将通过为任务成功和改进提供实时和汇总的反馈，最大限度地提高患者的参与度和积极性。

The broader impact/commercial potential of this project is in line with the grand challenge of developing teaching methods that optimize learning given the diversity of individual preferences and the complexity of each human brain. Because there is a great variability in stroke-induced lesions that result in marked differences in impairment and responsiveness to motor therapy, there is even a greater need to personalize motor training in post-stroke patients. The commercial impact of the personalized e-rehabilitation system, which will be developed and tested, derives from its value for patients, clinics, and insurers. For patients, the system will provide personalized training, and, because it will encapsulate research-based principles for effective and efficient neurorehabilitation of the upper extremity, it will largely improve patients' outcomes. For clinics, the system will increase revenues by increasing the number of visits per patient due to better outcomes and compliance, as well as the number of patients trained at once in clinic gyms. For insurers, the system will generate reports showing therapy effectiveness and, thus, validate reimbursements. This Small Business Innovation Research (SBIR) Phase I project is improving functions of the upper extremities following neurological disorders that affect the motor system, in particular stroke, but also Parkinson's disease and traumatic brain injury. Because therapists treating patients with these disorders only have the time to deliver about a 1/10th of the necessary dose of motor training in the clinic, patients are requested to perform most of the training at home. A novel augmented reality training system will be developed and tested. The system will automatically deliver high doses of functional tasks via presentations of virtual targets or objects in the real world. Using state-of-the-art motion sensing technology, the system will accurately and precisely measure upper body movements, including hand opening and closing. Based on these measurements, it will maximize recovery by providing adaptive training. It will maximize patient engagement and motivation by providing real-time and summary feedback for task success and improvements.