TY - GEN
T1 - Fuzzy Neural Network (FNN) Control for Restoration System of Wrist Joint Movement by Functional Electrical Stimulation (FES)
AU - Kumalasari, Rotania
AU - Arifin, Achmad
AU - Pramudijanto, Josaphat
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Stroke is the second leading cause of death and the third leading cause of disability around the world. WHO show that 70% of strokes and 87% of strokes that lead to death or disability happen in countries in the second and third world. Motor function is messed up after a stroke, which makes it hard to move joints. Hand moves, especially in the wrists, will get weaker. Functional Electrical Stimulation (FES) is a way to get joint function back to normal. A Fuzzy Neural Network is used to control the system. Based on the results of this study, it was found that 48V is the best voltage to use for the movement in this test. In the open loop test, a frequency of 15kHz and a 10% duty cycle are used to make this voltage. The average RMSE number for fast radial/ulnar flexion is 3.61, for slow radial/ulnar flexion it is 2.91, for fast dorsi/palmar flexion it is 5.22, and for slow dorsi/palmar flexion it is 4.36. So, the controller used can work better than the controller used in Fuzzy-PID tests done in the past.
AB - Stroke is the second leading cause of death and the third leading cause of disability around the world. WHO show that 70% of strokes and 87% of strokes that lead to death or disability happen in countries in the second and third world. Motor function is messed up after a stroke, which makes it hard to move joints. Hand moves, especially in the wrists, will get weaker. Functional Electrical Stimulation (FES) is a way to get joint function back to normal. A Fuzzy Neural Network is used to control the system. Based on the results of this study, it was found that 48V is the best voltage to use for the movement in this test. In the open loop test, a frequency of 15kHz and a 10% duty cycle are used to make this voltage. The average RMSE number for fast radial/ulnar flexion is 3.61, for slow radial/ulnar flexion it is 2.91, for fast dorsi/palmar flexion it is 5.22, and for slow dorsi/palmar flexion it is 4.36. So, the controller used can work better than the controller used in Fuzzy-PID tests done in the past.
KW - Accelerometer
KW - Functional Electrical Stimulation (FES)
KW - Fuzzy Neural Network
KW - Gyroscope
KW - Stroke
KW - Wrist
UR - http://www.scopus.com/inward/record.url?scp=85171152845&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221048
DO - 10.1109/ISITIA59021.2023.10221048
M3 - Conference contribution
AN - SCOPUS:85171152845
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 292
EP - 297
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 -
