TY - GEN
T1 - A body-sensed motor assessment system for stroke upper-limb rehabilitation
T2 - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
AU - Lee, Chao Hsien
AU - Chiu, Yu-Hsien
AU - Kao, Hao Yun
AU - Chen, I. Te
AU - Lee, I. Nong
AU - Ho, Wen Hsien
AU - Chen, Liang Yu
AU - Huang, Pin Han
AU - Chen, Sin Hao
AU - Liu, Chih Yun
AU - Lu, Hsiao Yan
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893581005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893581005&partnerID=8YFLogxK
U2 - 10.1109/SMC.2013.652
DO - 10.1109/SMC.2013.652
M3 - Conference contribution
AN - SCOPUS:84893581005
SN - 9780769551548
T3 - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
SP - 3819
EP - 3824
BT - Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Y2 - 13 October 2013 through 16 October 2013
ER -