Basith, Aidatunisadina Linazizah; Setiawan, Stanley; Arifin, Achmad; Arrofiqi, Fauzan; Nuh, Muhammad, “Design and Tests of A Wearable Functional Electrical Stimulation (FES) System for Knee Joint Movement Using Cycle-To-Cycle Control Method”, Journal of Theoretical and Applied Information Technology, 15th June 2017. Vol.95. No 11. pp. 2523-2571.
 Arifin, A; Arrofiqi, F; Watanabe, T; Nuh, M; Basith, A. L.;, “Embedded Fuzzy Logic Controller for Functional Electrical Stimulation System”, 2016 International Seminar on Intelligent Technology and Its Application, pp. 89-94, 2016
Functional electrical stimulation (FES) is one of the most common techniques used to improve motor function in individuals with paralysis. In this study, fuzzy logic controller implemented in embedded system for wearable FES was developed. The controller was designed as Single Input Single Output (SISO) and Multi Input Single Output (MISO) controllers to manage electrical stimulation for seven muscles in thigh and shank and to induce certain joint movements. The system was realized in two steps utilizing 32-bit ARM microcontrollers, STM32F429 and STM32F103C8T6, respectively. Closed-loop control was used in the system and realized using feedback from the sensors. Serial communication was utilized for data transmission between embedded system and PC/laptop as monitoring station. Experiments done to test the performance of SISO controller of knee flexion proved that the system was able to adjust burst duration and to control joint movement induced. The system designed was expected to be helpful for clinical application of motor function improvement
 Arrofiqi, Fauzan; Arifin, Achmad; Indrajaya, Benicditus;, “Design of wearable system for closed-loop control of gait restoration system by Functional Electrical Stimulation”, 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 – Proceeding, pp. 131-136, IEEE, 2015
This paper describes design and test of a wearable FES system for the purpose of improving the performance of gait in patients with post-stroke. The prototype system that was developed includes electrical stimulator and sensor systems. Electrical stimulator was designed to generate pulse train that was realized using non-isolated boost converter. Sensor system was designed to measure gait phases that was realized using FSR sensors and to measure lower limb joint angles that was realized using a fusion of gyroscope and accelerometer-based tilt angle sensor. In order to remove measurement error due to bias error of the gyroscope and fluctuation of tilt sensor, Kalman filter was used to estimate true lower limb joint angles. Each system was tested separately. Testing was done by measuring the stimulator’s output on the tibialis anterior muscle stimulation in normal subjects. The characteristics of pulse train in accordance with the desired specifications and capable of producing contractions in the tibialis anterior muscle. Sensor system was tested to measure gait parameters in subjects who walk normally. Comparison of the measured data with existing research data, showed the same pattern of the signal, the magnitude value is still in the standard deviation value of comparative data.
 Arifin, Achmad; Budiman, Fajar; Arrofiqy, Fauzan; Indrajaya, Bededictus Mawar; Ma’ar;, “Wearable Gait Measurement for Two Sensors and Force Sensing Resistor”, International Conference on Sensor, Sensor System and Actuator (ICSSSA), 2015
 Arifin, Achmad; Arrofiqi, Fauzan; Setiawan, Rachmad; Supeno, Bambang; Tasripan; Pujiono; Tasripan, Pujiono;, “A Wearable Human Movement Measurement System: ~ Sensor Fusion and Signal Processing Method ~”, The 13th Seminar on Intelligent Technology and Its Applications, pp. 189-193, 2012
We studied a method of joint angle measurement during movements using wearable sensor for rehabilitation purpose. The method utilized fusion of two types of inertial sensors, gyroscope and accelerometer-based tilt angle sensor. In order to remove measurement error due to bias error of the gyroscope and fluctuation of tilt sensor, Kalman filter was used to estimate true joint angle. The method was tested experimentally in measuring knee joint angle during cyclic movements using a physical model of knee joint. The measured joint angle data in 24 trials were assessed statistically comparing to the joint angle data measured by the electronic goniometer instrumented in the physical knee joint model. The designed Kalman filter reduced measurement error significantly. The method of sensor fusion and Kalman filtering showed high accuracy reflected by low RMSE: 2.66±0.64 degree, and high correlation coefficient: 0.97±0.05. By utilizing the Kalman filter, fusion of the gyroscope and tilt sensor would be applicable as a wearable, low-cost human movement measurement system, or in realizing a wearable control system for human movement rehabilitation.
Departemen Teknik Biomedik
Fakultas Teknologi Elektro dan Informatika Cerdas
Gedung A, B, C, dan AJ
Kampus ITS – Keputih, Sukolilo
Telepon: (6231) 5923644
E-mail : email@example.com