Asymmetric Walking Protocol for Optimal Post-ACL Reconstruction Rehabilitation

项目摘要 拟议工作的主要目标是为PI提供先进的生物医学研究培训， 杰出的导师，并保护时间，成为一个领先的独立研究人员在后前 交叉韧带重建（ACLR）康复。一个重要的后果，约25万 在美国，每年发生的前十字韧带损伤是未解决的神经肌肉损伤， 损伤经常导致有害的膝关节骨关节炎和其他使人衰弱的疾病的发展， 合并症。尽管进行了广泛的康复，但步态力学的长期缺陷仍然存在， 导致膝关节负荷增加。然而，中风研究的一个有希望的发现是， 步行协议可以破坏不适应的步态力学，并导致采用新的健康步态模式。 虽然不对称方案在纠正不良步态模式方面的成功通常由患者的临床表现来评估， 肢体间步态速度扰动的大小，据我们所知，这种新颖的干预从未 用于ACLR后患者。因此，我将采用实验步态分析，计算建模， 生物信号处理和机器学习，以恢复健康的ACLR后步态力学和减少膝关节 按照以下目标进行装载： 目标1.评估非对称步行协议步态扰动幅度在 在ACLR后个体中恢复健康步态。 目标二。开发患者特定模型，以评估冲击不对称行走方案步态 扰动幅度对减少ACLR后个体中的有害膝关节负荷有影响。 目标3。生成个性化的数据驱动临床算法，以快速、无创地预测膝关节 在临床环境中加载。 这项研究的结果将产生新的治疗干预措施和治疗指导，以改善后， ACLR康复结果。 拟议工作的成功执行将涉及一个强大的跨学科研究人员团队， 信号处理、机器学习、医学、生物医学工程、计算建模和 物理治疗PI组建了一个充满活力的团队，在指导他人方面享有盛誉， 他们将为她提供研究指导，除了职业和专业发展方向， 支持.这种指导与强大的机构支持、最先进的资源和设施相结合， 以及专门的保护时间将使她能够成功地执行所概述的研究和培训活动 K01指导研究科学家发展奖

Project Abstract The primary goal of the proposed work is to provide the PI with advanced biomedical research training, outstanding mentorship, and protected time to become a leading independent researcher in post-anterior cruciate ligament reconstruction (ACLR) rehabilitation. A significant consequence of the approximately 250,000 anterior cruciate ligament injuries that occur annually in the United States is that unresolved neuromuscular impairments often lead to the development of detrimental knee osteoarthritis and other debilitating comorbidities. Despite extensive rehabilitation, protracted deficits in gait mechanics remain and directly contribute to detrimental knee loading. Yet, a promising finding from stroke research is that an asymmetric walking protocol can disrupt maladaptive gait mechanics and lead to the adoption of new, healthy gait patterns. While the success of the asymmetric protocol in correcting adverse gait patterns is often assessed by the magnitude of the between-limb gait speed perturbation, this novel intervention to our knowledge has never been employed in post-ACLR patients. Thus, I will employ experimental gait analysis, computational modeling, biosignal processing, and machine learning to restore healthy post-ACLR gait mechanics and reduce knee loading as outlined by the following aims: Aim 1. Evaluate the effectiveness of asymmetric walking protocol gait perturbation magnitudes in restoring healthy gait in post-ACLR individuals. Aim 2. Develop patient-specific models to evaluate the impact asymmetric walking protocol gait perturbation magnitude has on reducing detrimental knee loading in post-ACLR individuals. Aim 3. Generate personalized data-driven clinical algorithm to rapidly and non-invasively predict knee loads in a clinical setting. The results of this research will yield new therapeutic interventions and treatment guidance to improve post- ACLR rehabilitation outcomes. The successful execution of the proposed work will involve a strong team of interdisciplinary researchers with skills in signal processing, machine learning, medicine, biomedical engineering, computational modelling, and physical therapy. The PI has assembled a dynamic team with a superb reputation for mentoring others and they will provide her with research guidance in addition to career and professional development direction and support. This mentorship combined with strong institutional support, state-of-the-art resources, and facilities, and dedicated protected time will allow her to successfully perform the research and training activities outlined in her K01 Mentored Research Scientist Development Award.