Fauzan Arrofiqi, S.T., M.T.

Profil Dosen

NIP    
Nama   Fauzan Arrofiqi, S.T., M.T.
Email   fauzan[at]bme.its.ac.id
fauzan.arrofiqi[at]gmail.com
Pendidikan   S1 : ITS, Teknik Elektro - Elektronika (2009 – 2012)
S2 : ITS, Teknik Elektro - Elektronika (2012 – 2015)


Penelitian dan Publikasi

Research

2015-Current, Electrical Stimulator Untuk Tujuan Rehabilitasi

2012-2014, Pengembangan Perangkat Wearable untuk Pengukuran Gerakan Manusia dan Rehabilitasi Kemampuan Berjalan Menggunakan Functional Electrical Stimulation System

2010-2012, Disain Sistem Sensor Wearable Untuk Pengukuran Gerakan Manusia Untuk Tujuan Rehabilitasi

2010-2011, Pengembangan Elektrolaring Untuk Penderita TunaLaring

2009-2010, Implementasi Kendali Fuzzy Logic Untuk Pengendalian Motor DC Pada Line Follower Robot

 

Conference Proceedings

2017

[1] 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.

Paralysis has became more widespread nowadays. Mostly caused by stroke, spinal cord injury, and multiple
sclerosis, the growing number of paralysis case also implied for a better treatment for its bearer. Some of
the main problems for individual with paralysis is to improve health problems related to paralysis and to
decrease the dependence to other people by regaining muscle function. In this study, a wearable functional electrical stimulation with cycle-to-cycle control system for knee joint movement restoration was developed. The system consists of sensor system, electrical stimulator, and fuzzy logic controllers. The controller was developed as Single Input Single Output (SISO) controller for knee flexion movement and Multi Input Single Output (MISO) controller for knee extension movement. Sensor system was used to measure angle of knee joint. A combination of two inertial sensors, accelerometer and gyroscope, made up the sensor system. The angle measured by sensor system was also used as feedback to realize closed-loop control. The data from the system could be monitored and saved as database using user interface program in a PC/laptop. Tests with neurologically intact subjects was done to test the performance of the system designed. It resulted in small number of RMSE and Settling Index for both maximum knee flexion and maximum knee extension control. The system designed was expected to be developed further to provide a full wearable FES system for lower limb motoric restoration.
Keywords: Functional Electrical Stimulation, Cycle-to-cycle Control, Knee Joint, Fuzzy System

2016

[1] 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

2015

[1] 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.
link: ieeexplore.ieee.org

[2] 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

2012

[1] 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.