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Award Abstract #1338118

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

Division Of Computer and Network Systems
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Initial Amendment Date: September 16, 2013
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Latest Amendment Date: May 2, 2016
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Award Number: 1338118
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Award Instrument: Standard Grant
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Program Manager: Rita V. Rodriguez
CNS Division Of Computer and Network Systems
CSE Direct For Computer & Info Scie & Enginr
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Start Date: October 1, 2013
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End Date: September 30, 2017 (Estimated)
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Awarded Amount to Date: $847,890.00
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Investigator(s): Fillia Makedon makedon@cse.uta.edu (Principal Investigator)
Robert Gatchel (Co-Principal Investigator)
Mario Romero-Ortega (Co-Principal Investigator)
Heng Huang (Co-Principal Investigator)
Vassilis Athitsos (Co-Principal Investigator)
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Sponsor: University of Texas at Arlington
Arlington, TX 76019-0145 (817)272-2105
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Program Reference Code(s): 1189, 9251, 9178
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Program Element Code(s): 1640, 1714


Proposal #: 13-38118 Collaborative Proposal #: 13-37866

PI(s): Makedon, Fillia S PI(s): Betke, Margrit

Athitsos, Vassilis; Gatchel, Robert J; Huang, Heng; Romero-Ortega, Mario I

Institution: University of Texas-Arlington 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.


Please report errors in award information by writing to: awardsearch@nsf.gov.



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