TY - GEN
T1 - Design Fuzzy Logic Controller for Electrical Stimulation Restoration of Shoulder Joint Movement Using Functional Electrical Stimulation
AU - Anggraini, Desy Kusuma
AU - Arifin, Achmad
AU - Pramudijanto, Josaphat
AU - Hermawan, Norma
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the world 15 million strokes occur every year. Disability is mainly caused by stroke, making it the primary reason for disabilities and the second leading cause of death worldwide. Developing countries account for two-thirds of strokes. Upper limb weakness is the most common post-stroke effect. Weakness in the upper limbs has an impact on day-to-day activities. Rehabilitation is needed to restore body function. Functional Electrical Stimulation (FES) is one way of rehabilitation. However, Functional Electrical Stimulation (FES) tends to saturation post-stroke patients. This study uses a device called Functional Electrical Stimulation (FES), which has two or multiple channels. It also involves a microcontroller called STM32F103C8T6, as well as two sensors called accelerometer and gyroscope. The purpose is to measure the angle of the shoulder joint. The Functional Electrical Stimulation (FES) module consists of a Boost Converter, Pulse Generator, and Channel Driver. Boost Converter can produce 130-144V output. The Pulse Generator can produce 20 Hz pulses 200 μ s wide. By using a Fuzzy Logic Controller control system, Functional Electrical Stimulation (FES) will be controlled using fuzzy. The research indicates that our usual response to a stimulus is to move towards the desired trajectory. Testing of this system is still limited to normal subjects and the rehabilitation process can restore shoulder joint motion. The average RMSE is 15. 18, and the error is mainly caused by the delay from the microcontroller and Bluetooth connection.
AB - In the world 15 million strokes occur every year. Disability is mainly caused by stroke, making it the primary reason for disabilities and the second leading cause of death worldwide. Developing countries account for two-thirds of strokes. Upper limb weakness is the most common post-stroke effect. Weakness in the upper limbs has an impact on day-to-day activities. Rehabilitation is needed to restore body function. Functional Electrical Stimulation (FES) is one way of rehabilitation. However, Functional Electrical Stimulation (FES) tends to saturation post-stroke patients. This study uses a device called Functional Electrical Stimulation (FES), which has two or multiple channels. It also involves a microcontroller called STM32F103C8T6, as well as two sensors called accelerometer and gyroscope. The purpose is to measure the angle of the shoulder joint. The Functional Electrical Stimulation (FES) module consists of a Boost Converter, Pulse Generator, and Channel Driver. Boost Converter can produce 130-144V output. The Pulse Generator can produce 20 Hz pulses 200 μ s wide. By using a Fuzzy Logic Controller control system, Functional Electrical Stimulation (FES) will be controlled using fuzzy. The research indicates that our usual response to a stimulus is to move towards the desired trajectory. Testing of this system is still limited to normal subjects and the rehabilitation process can restore shoulder joint motion. The average RMSE is 15. 18, and the error is mainly caused by the delay from the microcontroller and Bluetooth connection.
KW - Functional Electrical Stimulation
KW - Fuzzy Logic Controller
KW - Shoulder Joint
KW - Stroke
UR - http://www.scopus.com/inward/record.url?scp=85171153674&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221108
DO - 10.1109/ISITIA59021.2023.10221108
M3 - Conference contribution
AN - SCOPUS:85171153674
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 298
EP - 303
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 -