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SCH: INT: Collaborative Research: "RehabBuddy" Extending Individualized Physical Rehabilitation Beyond the Clinic Using Wearable Technology to Empower Patients

SCH：INT：合作研究：“RehabBuddy”利用可穿戴技术将个性化身体康复扩展到诊所之外，为患者提供帮助

基本信息

批准号：
1722619
负责人：
Samir Rawashdeh
金额：
$ 15.03万
依托单位：
Regents of the University of Michigan - Ann Arbor
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-15 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1722619&HistoricalAwards=false
关键词：
SCH INT Collaborative Research RehabBuddy

项目摘要

Musculoskeletal conditions, often requiring rehabilitation, affects one-third of the American population annually. RehabBuddy is a rehabilitation assistance system that extends the reach of a physical rehabilitation specialist beyond the clinic to address two significant problems in the current standard of care; poor adherence to prescribed exercises and the lack of objective tracking. Both will be addressed by developing a system that uses body-worn motion sensors and a mobile application (e.g. tablet or phone) that provides the patient with assistance to ensure that home exercises are performed with the same precision as under clinical supervision. Assisted by a specialist in the clinic, the wearable sensors and user interface developed will allow the capture of individualized exercises unique to the patient's physical abilities. The system will assist patients by providing real-time corrective feedback to repeat these exercises through a correct and complete arc of motion for the prescribed number of repetitions. The planned work will develop the sensing system to measure the body's motion, the motion processing algorithms that provide measurements of the joint angles, and a real-time corrective feedback approach. The system will be objectively evaluated by three-dimensional motion analysis and assessed by patients with a musculoskeletal injury. The final system will be capable of documenting exercise performance and enhancing the patient's confidence by providing a portable rehabilitation assistant. RehabBuddy is a multidisciplinary project that spans several domains. The planned approach goes beyond passive exercise monitoring to a patient-in-the-loop approach with real-time corrective feedback. The core scientific challenge is to develop a general framework using inertial sensors capable of exercise motion capture and later assisted repetition for any joint and any exercise through real-time feedback, enabling patient-centered health care. Effective signal processing methods using inertial measurement units to achieve this are not known. The research will include inertial measurement unit signal processing, identifying parameters that unambiguously define custom exercises, and providing useful feedback to assist the patient in repeating exercises correctly while minimizing compensation at other body regions. The system will be evaluated for shoulder exercises, a multi-joint structure that requires a more comprehensive and general solution and has had little attention in prior literature. Critical questions on the human-computer interaction aspect will also be addressed. The effectiveness of the feedback and the system as a whole will be evaluated on how patient motivation and their empowerment to manage their injury are affected by the increased confidence and self-reliance aided by the feedback. It is unknown if providing real-time feedback will improve patients' self-efficacy when performing exercises. Also, it is unknown if upper extremity exercise performance can be enhanced with real-time feedback without supervision. Through the development and evaluation of RehabBuddy with patients, the project aims to begin addressing these questions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

肌肉骨骼疾病，通常需要康复，每年影响三分之一的美国人口。RehabBuddy是一个康复辅助系统，将物理康复专家的范围扩展到诊所之外，以解决当前护理标准中的两个重大问题；不坚持规定的运动，缺乏客观的跟踪。这两个问题都将通过开发一种系统来解决，该系统使用穿戴式运动传感器和移动应用程序（例如平板电脑或手机），为患者提供帮助，以确保在临床监督下以相同的精度进行家庭锻炼。在诊所专家的协助下，开发的可穿戴传感器和用户界面将允许捕获患者身体能力独特的个性化锻炼。该系统将通过提供实时纠正反馈来帮助患者在规定的重复次数中通过正确和完整的运动弧线重复这些练习。计划中的工作将开发测量身体运动的传感系统，提供关节角度测量的运动处理算法，以及实时纠正反馈方法。该系统将通过三维运动分析进行客观评估，并由肌肉骨骼损伤患者进行评估。最终的系统将能够记录运动表现，并通过提供便携式康复助手来增强患者的信心。RehabBuddy是一个跨多个领域的多学科项目。计划中的方法超越了被动的运动监测，成为一种具有实时纠正反馈的患者在环方法。核心的科学挑战是开发一个通用框架，使用能够运动动作捕捉的惯性传感器，并通过实时反馈为任何关节和任何运动提供辅助重复，从而实现以患者为中心的医疗保健。有效的信号处理方法使用惯性测量单元来实现这是未知的。该研究将包括惯性测量单元信号处理，识别明确定义自定义练习的参数，并提供有用的反馈，以帮助患者正确重复练习，同时最大限度地减少其他身体区域的补偿。该系统将用于肩部锻炼，这是一种多关节结构，需要更全面和通用的解决方案，在先前的文献中很少得到关注。人机交互方面的关键问题也将被解决。反馈和整个系统的有效性将根据患者的动机和他们管理伤害的能力如何受到反馈所帮助的增强的信心和自力更生的影响来评估。提供实时反馈是否会提高患者锻炼时的自我效能，目前尚不清楚。此外，在没有监督的情况下，实时反馈是否能提高上肢运动表现，目前尚不清楚。通过RehabBuddy对患者的开发和评估，该项目旨在开始解决这些问题。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。