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: 1338118
• 负责人: Fillia Makedon
• 金额: $ 79.99万
• 依托单位: University of Texas at Arlington
• 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 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338118&HistoricalAwards=false
• 关键词: MRI; Collaborative; Development; iRehab; Intelligent

Proposal #: 13-38118 Collaborative Proposal #: 13-37866PI(s): Makedon, Fillia S PI(s): Betke, MargritAthitsos, Vassilis; Gatchel, Robert J; Huang, Heng; Romero-Ortega, Mario IInstitution: University of Texas-Arlington INstitution: Boston Univeristy Title: MRI/Dev :Collab Dev. of iRehab, an Intelligent Closed-loop Instrument for Adaptive RehabilitationProject 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#:13-38118合作提案#:13-37866PI(s): Makedon, filia s PI(s): Betke, MargritAthitsos, Vassilis；罗伯特·盖彻尔；黄,恒;Romero-Ortega， Mario研究机构：德克萨斯大学阿灵顿研究所：波士顿大学头衔：MRI/开发：iRehab的合作开发，一种智能闭环适应性康复仪器项目建议：该项目，开发一种被称为iRehab的仪器，旨在为患有脑损伤，运动障碍，认知障碍和/或社会心理症状的个体提供个性化康复治疗。该仪器是一种模块化的康复设备，其最简单的形式包括一台计算机、一台摄像机和用于评估和训练认知功能的自适应软件。最终，也是最复杂的形式，该仪器将整合来自4自由度机械臂的数据，该机械臂带有万向杆和扭矩传感器，Kinect传感器，多个摄像头，眼球追踪设备，触摸屏，麦克风和fNIRS脑成像传感器。该仪器将分两个阶段开发。在第一阶段，调查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、眼球追踪设备和相关的低成本组件，以及用于评估运动功能、认知、情感和人格功能的评估软件。iRehab综合了多学科方法和传感器，以评估和协助受各种损伤影响的人的认知和身体康复。这项工作是高度跨学科的工作，遵循网络物理方法。它为以人为中心的计算、计算机视觉、辅助技术、机器人、机器学习和神经成像等领域提供了新的研究机会。这项工作推动了人类大脑活动图谱、个性化医疗和大数据的研究。更广泛的影响：拟议的仪器显示出巨大的更广泛影响的潜力，因为它直接有助于未来的医疗保健和人类福祉，改善了广大患者获得负担得起的康复的机会。该仪器可能会加速大量损伤和疾病的恢复，包括那些引起运动、神经和认知障碍的损伤和疾病。教育计划包括课程开发、实习、研讨会和教程，以及在线资源中心。除了许多教育方面的影响外，还会对所涉及领域的基础研究产生影响。

项目成果

A Robot-Based Cognitive Assessment Model Based on Visual Working Memory and Attention Level

基于视觉工作记忆和注意力水平的机器人认知评估模型

• DOI: 10.1007/978-3-319-92049
• 发表时间: 2018
• 期刊: International Conference on Universal Access in Human-Computer Interaction
• 作者: Sharifara, Ali;Babu, Ashwin Ramesh;Rajavenkatanarayanan, Akilesh;Collander, Christopher;Makedon, Fillia
• 通讯作者: Makedon, Fillia