TY - GEN
T1 - Design and Implementation of Wrist Joint Movements Restoration System Using Wearable Functional Electrical Stimulation with a Fuzzy-PID Controller
T2 - 4th International Conference on Computational Biology and Bioinformatics, ICCBB 2020
AU - Ayu Rachmawati, Dyah
AU - Arifin, Achmad
AU - Halimah Baki, Siti
AU - Leonardo, Kevin
AU - Arrofiqi, Fauzan
AU - Hilman Fatoni, Muhammad
AU - Watanabe, Takashi
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/12/27
Y1 - 2020/12/27
N2 - Stroke disease is a condition that occurs when blood flow to the brain is reduced or poor caused of blockage or rupture of blood vessels. It causes parts of body that are controlled by the dead brain cannot work properly or run into paralysis. Functional Electrical Stimulation (FES) is one of method to activate sensoric-motoric system with sending electrical pulses to the specified muscle. The controller used in this study for FES is Fuzzy-PID controller. Fuzzy controller was used to determine which channel to be activated based on the amount of error, meanwhile PID controller as a feedback controller. It also has good stimulation pattern, which can determine which stimulation channel to be activated based on the amount of error. Combining Fuzzy and PID in the control system obtained good results, which the average angular error has a value less than 100 and able to produce a circular motion as desired. Further clinical test with paralyzed subjects would be next research step.
AB - Stroke disease is a condition that occurs when blood flow to the brain is reduced or poor caused of blockage or rupture of blood vessels. It causes parts of body that are controlled by the dead brain cannot work properly or run into paralysis. Functional Electrical Stimulation (FES) is one of method to activate sensoric-motoric system with sending electrical pulses to the specified muscle. The controller used in this study for FES is Fuzzy-PID controller. Fuzzy controller was used to determine which channel to be activated based on the amount of error, meanwhile PID controller as a feedback controller. It also has good stimulation pattern, which can determine which stimulation channel to be activated based on the amount of error. Combining Fuzzy and PID in the control system obtained good results, which the average angular error has a value less than 100 and able to produce a circular motion as desired. Further clinical test with paralyzed subjects would be next research step.
KW - Functional electrical stimulation
KW - Fuzzy inference system
KW - PID controller
KW - Wrist movement
UR - http://www.scopus.com/inward/record.url?scp=85109209430&partnerID=8YFLogxK
U2 - 10.1145/3449258.3449272
DO - 10.1145/3449258.3449272
M3 - Conference contribution
AN - SCOPUS:85109209430
T3 - ACM International Conference Proceeding Series
SP - 74
EP - 80
BT - 2020 4th International Conference on Computational Biology and Bioinformatics, ICCBB 2020
PB - Association for Computing Machinery
Y2 - 27 December 2020 through 29 December 2020
ER -