Title
Intentional Movement Performance Ability (IMPA): A method for robot-aided quantitative assessment of motor function
Abstract
The purpose of this paper is to propose a new assessment method for evaluating motor function of the patients who are suffering from physical weakness after stroke, incomplete spinal cord injury (iSCI) or other diseases. In this work, we use a robotic device to obtain the information of interaction occur between patient and robot, and use it as a measure for assessing the patients. The Intentional Movement Performance Ability (IMPA) is defined by the root mean square of the interactive torque, while the subject performs given periodic movement with the robot. IMPA is proposed to quantitatively determine the level of subject's impaired motor function. The method is indirectly tested by asking the healthy subjects to lift a barbell to disturb their motor function. The experimental result shows that the IMPA has a potential for providing a proper information of the subject's motor function level.
Year
DOI
Venue
2013
10.1109/ICORR.2013.6650498 PubMed ID : 24187313
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Keywords
Field
DocType
diseases,human-robot interaction,injuries,least mean squares methods,medical robotics,neurophysiology,impa,disease,isci,impaired motor function evaluation,incomplete spinal cord injury,intentional movement performance ability,interactive torque,patient assessment,patient robot interaction,physical weakness,robot aided quantitative assessment,robotic device,root mean square method,stroke,human robot interaction,torque,force,robot kinematics,trajectory
Spinal cord injury,Torque,Neurophysiology,Simulation,Weakness,Artificial intelligence,Physical medicine and rehabilitation,Engineering,Robot,Human–robot interaction,Robotics,Motor function
Conference
Volume
ISSN
ISBN
2013
1945-7898
978-1-4673-6022-7
Citations 
PageRank 
References 
0
0.34
4
Authors
6
Name
Order
Citations
PageRank
Sung Yong Shin11904168.33
jung yeop kim200.34
sanghyeop lee320.73
junwon lee4142.31
Seung-Jong Kim500.34
ChangHwan Kim616022.61