TY - GEN
T1 - Medical Information System As Supporting Tele-Rehabilitation of Post Stroke Patients Using Website - Based Applications
AU - Wijaya, Steven Martin
AU - Arifin, Achmad
AU - Babgei, Atar Fuady
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The aspect of geographical limitations and the absence of digital records of the results of the rehabilitation program are the main problems in the traditional post-stroke rehabilitation process. Therefore, to overcome this, an information system is proposed as one of the supporters of the progress of the web-based telerehabilitation process. This website-based application has features such as data reports, data presentation, and storage of training outputs into database management. The output data that will be processed in the application are velocity, current, trajectory, and torque. The designed application system has also been tested using the SUS method involving 20 subjects and obtained an average value of 82.88. In the future research process, for each type of research the upper limb and lower limb will be secured into a database management. The existing data will then be integrated with the enkaku website as the main portal.
AB - The aspect of geographical limitations and the absence of digital records of the results of the rehabilitation program are the main problems in the traditional post-stroke rehabilitation process. Therefore, to overcome this, an information system is proposed as one of the supporters of the progress of the web-based telerehabilitation process. This website-based application has features such as data reports, data presentation, and storage of training outputs into database management. The output data that will be processed in the application are velocity, current, trajectory, and torque. The designed application system has also been tested using the SUS method involving 20 subjects and obtained an average value of 82.88. In the future research process, for each type of research the upper limb and lower limb will be secured into a database management. The existing data will then be integrated with the enkaku website as the main portal.
KW - post stroke
KW - tele-rehabilitation
KW - website application
UR - https://www.scopus.com/pages/publications/85149136766
U2 - 10.1109/CENIM56801.2022.10037423
DO - 10.1109/CENIM56801.2022.10037423
M3 - Conference contribution
AN - SCOPUS:85149136766
T3 - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
SP - 302
EP - 307
BT - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Y2 - 22 November 2022 through 23 November 2022
ER -