TY - GEN
T1 - A kinect-based system for stroke rehabilitation
AU - Yeh, Shih Ching
AU - Lee, Si Huei
AU - Chan, Rai Chi
AU - Chen, Shuya
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Virtual reality (VR)-based stroke rehabilitation has been shown to be effective in increasing motivation and functional performance in stroke patients. The new motion-sensing technology, Kinect, is cost effective and does not require the patient to wear sensors on the body, which increases freedom of movement. The objective of this study was to use Kinect technology to develop a VR stroke rehabilitation system with unilateral and bilateral tasks for recovering the function of the upper extremity. This study tested the feasibility, therapeutic effectiveness, and user acceptance of this technology. Two participants with various levels of motor severity received 30-minute stroke rehabilitation 3 times per week over 8 weeks (a total 24 training sessions). The Wolf Motor Function Test (WMFT), Test Évaluant la performance des Membres supérieurs des Personnes Âgées (TEMPA), and Fugl-Meyer Assessment of Physical Performance (FMA) were used to collect data before and after rehabilitation, and during a follow-up to detect the changes of functional performance. Questionnaires of user acceptance of the technology were administered. On completion of the rehabilitation program, using the proposed Kinect-based VR training system, WMFT, TEMPA, and FMA results increased for both participants. The technology acceptance questionnaires indicated that participants had strong intentions to continue using the proposed system for rehabilitation. We developed the first Kinect-based stroke rehabilitation for the upper extremity, and demonstrated its feasibility and effectiveness in improving upper extremity function after a stroke. A large-scale study should be conducted to test the effectiveness of the proposed system for stroke rehabilitation.
AB - Virtual reality (VR)-based stroke rehabilitation has been shown to be effective in increasing motivation and functional performance in stroke patients. The new motion-sensing technology, Kinect, is cost effective and does not require the patient to wear sensors on the body, which increases freedom of movement. The objective of this study was to use Kinect technology to develop a VR stroke rehabilitation system with unilateral and bilateral tasks for recovering the function of the upper extremity. This study tested the feasibility, therapeutic effectiveness, and user acceptance of this technology. Two participants with various levels of motor severity received 30-minute stroke rehabilitation 3 times per week over 8 weeks (a total 24 training sessions). The Wolf Motor Function Test (WMFT), Test Évaluant la performance des Membres supérieurs des Personnes Âgées (TEMPA), and Fugl-Meyer Assessment of Physical Performance (FMA) were used to collect data before and after rehabilitation, and during a follow-up to detect the changes of functional performance. Questionnaires of user acceptance of the technology were administered. On completion of the rehabilitation program, using the proposed Kinect-based VR training system, WMFT, TEMPA, and FMA results increased for both participants. The technology acceptance questionnaires indicated that participants had strong intentions to continue using the proposed system for rehabilitation. We developed the first Kinect-based stroke rehabilitation for the upper extremity, and demonstrated its feasibility and effectiveness in improving upper extremity function after a stroke. A large-scale study should be conducted to test the effectiveness of the proposed system for stroke rehabilitation.
KW - Effectiveness
KW - Stroke
KW - Upper extremity
KW - Virtual-reality therapy
UR - http://www.scopus.com/inward/record.url?scp=85083425090&partnerID=8YFLogxK
U2 - 10.1109/Ubi-Media.2019.00045
DO - 10.1109/Ubi-Media.2019.00045
M3 - 會議論文篇章
AN - SCOPUS:85083425090
T3 - Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
SP - 192
EP - 198
BT - Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
Y2 - 6 August 2019 through 9 August 2019
ER -