TY - GEN
T1 - Telerehabilitation Information System for Lower Limb with FES Based on Website Application
AU - Muhammad, Fauzi Naufal
AU - Arifin, Achamd
AU - Hermawan, Norma
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Hemiplegic patients who need gait rehabilitation must travel to a rehabilitation facility because Indonesian facilities are still not widely distributed. In addition, it is now difficult to track training progress because there is still a dearth of digital data recording of rehabilitation results. Thus, a website application based on a lower limb telerehabilitation system is suggested to help patients and doctors or therapists carry out rehabilitation in order to overcome various current problems. This telerehabilitation system has a feature that allows data to be displayed graphically and stores exercise outcomes data into a management database to make it simpler to track each patient's development through telerehabilitation. A graph of the segments, joints, and stimulation time will be displayed on the online application as the output data from the telerehabilitation equipment in the form of FES. Additionally, the designed website application underwent user acceptance testing using the system usability scale evaluation method for 25 participants, and the results showed that it has a functional value of an average score of 69. The data from FES can be automatically stored in the database during the future research process without assistance from external applications, allowing the internet application to present the data in real-time.
AB - Hemiplegic patients who need gait rehabilitation must travel to a rehabilitation facility because Indonesian facilities are still not widely distributed. In addition, it is now difficult to track training progress because there is still a dearth of digital data recording of rehabilitation results. Thus, a website application based on a lower limb telerehabilitation system is suggested to help patients and doctors or therapists carry out rehabilitation in order to overcome various current problems. This telerehabilitation system has a feature that allows data to be displayed graphically and stores exercise outcomes data into a management database to make it simpler to track each patient's development through telerehabilitation. A graph of the segments, joints, and stimulation time will be displayed on the online application as the output data from the telerehabilitation equipment in the form of FES. Additionally, the designed website application underwent user acceptance testing using the system usability scale evaluation method for 25 participants, and the results showed that it has a functional value of an average score of 69. The data from FES can be automatically stored in the database during the future research process without assistance from external applications, allowing the internet application to present the data in real-time.
KW - FES
KW - database
KW - lower limb
KW - telerehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85171131176&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221023
DO - 10.1109/ISITIA59021.2023.10221023
M3 - Conference contribution
AN - SCOPUS:85171131176
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 394
EP - 398
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -
