A body-sensed motor assessment system for stroke upper-limb rehabilitation: A preliminary study

Chao Hsien Lee, Yu-Hsien Chiu, Hao Yun Kao, I. Te Chen, I. Nong Lee, Wen Hsien Ho, Liang Yu Chen, Pin Han Huang, Sin Hao Chen, Chih Yun Liu, Hsiao Yan Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Based on the clinic data, 69 % - 80 % stroke patients in Taiwan have the muscle weakness symptom of upper limb. Stroke patients are able to restore their independent living if they keep formal rehabilitation without interruption. However, due to the tedious and painful process, stroke patients may pause or suspend their rehabilitation therapy. Moreover, physiatrists in Taiwan hospitals must take care of more than one patient at the same time. This paper is motivated to propose a motor assessment system for stroke upper-limb rehabilitation. Our implementation is integrated with the Complete Minnesota Dexterity Test to quantify patients' recovery status automatically. Therefore, our implementation is able to reduce the workload of physiatrists effectively. In addition to assessment scale score, the proposed system is able to record more details, e.g., the tremor status and the grip strength, for doctors to evaluate the following rehabilitation therapy. Finally, a body-sensed game is provided to increase interest to the rehabilitation process.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages3819-3824
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: 2013 Oct 132013 Oct 16

Publication series

NameProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Other

Other2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
CountryUnited Kingdom
CityManchester
Period13-10-1313-10-16

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'A body-sensed motor assessment system for stroke upper-limb rehabilitation: A preliminary study'. Together they form a unique fingerprint.

Cite this