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Towards clinically relevant automatic assessment of upper-limb motor function impairment

Title
Towards clinically relevant automatic assessment of upper-limb motor function impairment
Authors
Lee, Seung-HeeSong, MinsuKim, Jonghyun
DGIST Authors
Kim, Jonghyun
Issue Date
2016
Citation
3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, 148-151
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
This paper is to develop an automated assessment system of upper-limb motor function impairment for clinical environment. Although we had proposed the system in our previous work, there are some rooms to be improved. Using glove sensor was difficult due to stroke patient's hand contracture. Moreover, it was based on machine learning, and thus required huge effort to collect reference data to increase classification accuracy. To address those issues, three tests of Fugl-Meyer Assessment which were closely related the issues were chosen as target tests. Since Kinect v2 and force-sensing resister can provide hand-related information, the tests were automated without glove sensor. Fuzzy-logic classification table that is based on traditional FMA guidelines was implemented to rate the FMA score without machine learning. With a healthy subject, simple experiments were conducted to evaluate the proposed system with novel classification scheme. The results show a feasibility for more convenient automated assessment of upper-limb motor function impairment. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/5447
DOI
10.1109/BHI.2016.7455856
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Kim, Jong Hyun REL(Rehabilitation Engineering Laboratory)
  • Research Interests Rehabilitation engineering; Robotics; Nonlinear control
Files:
There are no files associated with this item.
Collection:
Department of Robotics EngineeringREL(Rehabilitation Engineering Laboratory)2. Conference Papers


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