Cited 5 time in webofscience Cited 7 time in scopus

A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study

Title
A Framework to Automate Assessment of Upper-Limb Motor Function Impairment: A Feasibility Study
Authors
Otten, P[Otten, Paul]Kim, J[Kim, Jonghyun]Son, SH[Son, Sang Hyuk]
DGIST Authors
Kim, J[Kim, Jonghyun]Son, SH[Son, Sang Hyuk]
Issue Date
2015-08
Citation
Sensors, 15(8), 20097-20114
Type
Article
Article Type
Article
Keywords
Artificial IntelligenceAutomated Upper-Limb AssessmentClinical EnvironmentsFeasibility StudiesFugl-Meyer AssessmentFugl-Meyer AssessmentsLearning AlgorithmsLearning SystemsLow-Cost SensorsMachine LearningMotor ImpairmentsMovement DatumNeurological DisordersUpper-Limb Motor ImpairmentUpper-Limbs
ISSN
1424-8220
Abstract
Standard upper-limb motor function impairment assessments, such as the Fugl-Meyer Assessment (FMA), are a critical aspect of rehabilitation after neurological disorders. These assessments typically take a long time (about 30 min for the FMA) for a clinician to perform on a patient, which is a severe burden in a clinical environment. In this paper, we propose a framework for automating upper-limb motor assessments that uses low-cost sensors to collect movement data. The sensor data is then processed through a machine learning algorithm to determine a score for a patient’s upper-limb functionality. To demonstrate the feasibility of the proposed approach, we implemented a system based on the proposed framework that can automate most of the FMA. Our experiment shows that the system provides similar FMA scores to clinician scores, and reduces the time spent evaluating each patient by 82%. Moreover, the proposed framework can be used to implement customized tests or tests specified in other existing standard assessment methods. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/2592
DOI
10.3390/s150820097
Publisher
MDPI AG
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles
Robotics EngineeringETC1. Journal Articles


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