MRI Collaborative: Development of iRehab, an Intelligent Closed-Loop Instrument for Adaptive Rehabilitation

MRI Collaborative：开发 iRehab，一种用于适应性康复的智能闭环仪器

• 批准号: 1337866
• 负责人: Margrit Betke
• 金额: $ 20.01万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1337866&HistoricalAwards=false
• 关键词: MRI; Collaborative; Development; iRehab; Intelligent

Proposal #: 13-38118 Collaborative Proposal #: 13-37866 PI(s): Makedon, Fillia S collaboration with PI(s): Betke, Margrit Athitsos, Vassilis; Gatchel, Robert J; Huang, Heng; Romero-Ortega, Mario I Institution: University of Texas-Arlington collaboration with Institution: Boston Univeristy Title: MRI/Dev :Collab Dev. of iRehab, an Intelligent Closed-loop Instrument for Adaptive Rehabilitation Project Proposed: This project, developing of an instrument referred to as iRehab, aims to enable personalized rehabilitation therapy for individuals suffering from brain injury, motor disabilities, cognitive impairments, and/or psychosocial symptoms. The instrument, a modular rehabilitation device, in its simplest form consists of a computer, a camera, and adaptive software for assessment and training of cognitive functions. In its final, most complex form, the instrument will integrate data from a 4-degree-of-freedom robotic-arm with gimbals and torque sensing, a Kinect sensor, multiple cameras, an eye-tracking device, a touch screen, a microphone, and an fNIRS brain imaging sensor. The instrument will be developed in two phases. In the first phase, the investigators develop a Barrett robot arm. In the second phase, the instrument will extend to a Kinect sensor, multiple cameras, an eye-tracking device, and related low-cost components, along with the assessment software for assessing motor function and cognitive, emotional, and personality functioning. iRehab consists integrates multidisciplinary methodologies and sensors to assess and assist the cognitive and physical rehabilitation of persons affected by various impairments. This work highly interdisciplinary work follows a cyber-physical approach. It provides new research opportunities across the fields of human-centered computing, computer vision, assistive technology, robotics, machine learning, and neuroimaging. This work advances research in human brain activity mapping, personalized medicine, and big data. Broader Impacts: The proposed instrument exhibits potential for large broader impact as it directly contributes to future healthcare and human wellbeing improving accessibility to affordable rehabilitation for a broad range of patients. The instrument is likely to accelerate the recovery of a large spectrum of injuries and diseases including those causing motor, neurological, and cognitive disorders. An education plan includes course development, internships, workshops and tutorials, and an on-line resource center. In addition to many educational impacts, impact will be felt on the fundamental research in the areas addressed.

提案编号：13-38118协作 提案编号：13-37866主要研究者：Makedon、Fillia S与 主要研究者：Betke，Margrit Athitsos，Vassilis; Gatchel，Robert J; Huang，Heng; Romero-Ortega，Mario I机构：德克萨斯大学阿灵顿分校与机构：波士顿大学合作标题：MRI/Dev：Collab Dev. iRehab，一个智能闭环工具的适应性康复项目建议：该项目，开发一种称为iRehab的工具，旨在为患有脑损伤，运动残疾，认知障碍和/或心理社会症状的个人提供个性化的康复治疗。该仪器是一种模块化康复设备，其最简单的形式包括一台计算机，一台相机和用于评估和训练认知功能的自适应软件。在其最终的、最复杂的形式中，该仪器将整合来自一个带有万向节和扭矩传感的4自由度机器人手臂、一个Kinect传感器、多个摄像头、一个眼球跟踪设备、一个触摸屏、一个麦克风和一个fNIRS大脑成像传感器的数据。该工具将分两个阶段开发。在第一阶段，研究人员开发了一个巴雷特机器人手臂。在第二阶段，该仪器将扩展到Kinect传感器，多个摄像头，眼睛跟踪设备和相关的低成本组件，沿着用于评估运动功能和认知，情感和人格功能的评估软件。iRehab包括综合多学科方法和传感器，以评估和协助受各种障碍影响的人的认知和身体康复。这项工作高度跨学科的工作遵循网络物理方法。它为以人为本的计算，计算机视觉，辅助技术，机器人技术，机器学习和神经成像领域提供了新的研究机会。这项工作推进了人类大脑活动映射，个性化医疗和大数据的研究。更广泛的影响：拟议的工具具有更广泛的影响潜力，因为它直接有助于未来的医疗保健和人类福祉，提高广泛患者负担得起的康复服务的可及性。该仪器可能会加速大范围的伤害和疾病的恢复，包括那些导致运动，神经和认知障碍的伤害和疾病。教育计划包括课程开发，实习，研讨会和辅导，以及一个在线资源中心。除了许多教育方面的影响外，还将对所涉领域的基础研究产生影响。