Rachmad Setiawan ST, MT

Profil Dosen

NIP   196905291995121001
Nama   Rachmad Setiawan ST, MT
Email   Rach69s2006[at]yahoo.com
cakmad69[at]gmail.com
Pendidikan   S1: ITS, Elektronika (1989-1995)
S2: ITB, Instrumentasi dan Kontrol (1996-1999)
S3: ITS, Biomedika (2010- )

Penelitian dan Publikasi

Research


Pengembangan Portable FES System Untuk Restorasi Kemampuan Berjalan Pasien Stroke Berbasis Iterative Learning Control

 

Journal Articles

2017

[1] Setiawan Rachmad; Arifin Achmad; Budiman Fajar; Soeprijanto Adi;, "Programmable Amplitude of Portable Electrical Stimulator for Multi-Channel Functional Electrical Stimulator (Fes) System", Journal of Theoretical and Applied Information Technology, Vol. 95, No. 9, pp. 1974-1982, 2017

 

Conference Proceedings

2014

[1] Setiawan, Rachmad;, "Design of Portable Electrical Stimulator for Multi-channel Functional Electrical Stimulation (FES)", Seminar on Intelligent Technology and Its Applications 2014, 2014

Fundamental research about Functional Electrical Stimulation (FES) indicates that FES could be used to restorate motor system of patient experiencing damage at arrangement of central nerve resulted from cerebrospinal of cord injury (SCI) and also stroke. Operation of human body organ impulse activated by FES is difficult and very complex because of nonlinearity from response neuro-muscular system, various from response musculo-skeletal system to electrical stimulation, time delay which is long, and fatigue phenomenon (muscle fatigue). Therefore, to overcome obstacle in operation of FES hence closed loop control applied to yield accurate impulse. For the application of closed-loop control at level klinis, FES system must be designed multi-channel and portable that patient feels balmy. The realized FES stimulator was a boost converter with duty cycle 90%, because it yielded relatively linear and higher output voltage. Keyword: Functional Electrical Stimulation, closed loop control, boost converter Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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.

[2] Indrajaya, Benedictus; Setiawan, Rachmad; Arifin, Achmad;, "Penentuan Lower Limb Joint Angles Berdasar Respon Akselerometer dalam Pengembangan Wearable Sensor untuk FES", The 6th Electrical Power, Electronics, Communications, Controls, and Informations Seminar, 2012

Banyaknya pasien yang mengalami kelumpuhan, misal, akibat stroke memerlukan rehabilitasi kelumpuhan anggota geraknya. Functional Electrical Stimulation (FES) dapat secara efektif dalam membantu restorasi kelumpuhan fungsi motorik. Untuk sistem FES terinduksi gait (gaya berjalan), memerlukan sistem sensor untuk memonitor lower limb joint angles sebagai feedback. Pada paper ini kami mengusulkan penggunaan sensor akselerometer dan giroskop untuk mengukur lower limb joint angles, yaitu sudut sendi heap, knee dan ankle. Pengunaan sensor berteknologi MEMSs dengan ukuran yang kecil bertujuan agar sistem sensor mudah dipakai dan nyaman bagi pasien. Dijabarkan bagaimana penentuan persamaan lower limb joint angles berdasar vektor akselerasi akselerometer yang terpasang pada segmen tubuh, paha, betis dan telapak kaki, untuk mengukur sudut tilt tiap segmen. Pengujian dilakukan dengan menggunakan model kaki dari seorang subyek dengan skala 1:1 didapat hasil yang linier dengan nilai RMSE sudut heap = 0,96o, RMSE sudut knee = 1,25o dan RMSE sudut ankle = 1,81o. Dengan metode yang diusulkan peletakan posisi sensor lebih mudah dilakukan. Berdasar hasil penelitian ini, kedepan akan dilanjutkan penelitian tentang penentuan lower limb joint angles pada subyek yang berjalan dengan normal gait

[3] Supeno, Bambang; Setiawan, Rachmad; Arifin, Achmad;, "Disain Wireless Functional Electrical Stimulator Menggunakan X-Bee Pro", The 6th Electrical Power, Electronics, Communications, Controls, and Informations Seminar, 2012

Secara garis besar semua jenis gerakan itu dapat dikelompokkan menjadi dua bagian besar, yaitu gerakan tubuh bagian atas (upper limb) dan bawah (lower limb). Semua jenis gerakan, termasuk berjalan, merupakan hasil dari sebuah proses rumit yang melibatkan otak, sumsum tulang belakang, saraf perifer, otot, tulang dan sendi. Paralyzed lower limbs adalah suatu kondisi klinis pada pasien yang berupa kelumpuhan anggota tubuh bagian bawah. FES (Functional Electrical Stimulator) adalah merupakan salah satu divais yang dipergunakan sebagai metode terapi restorasi gerakan pasien dengan paralyzed lower limbs untuk mengaktifkan jaringan motoriknya, sehingga pasien dapat berjalan. Harapan utama dari penelitian ini adalah adanya disain sistem FES dengan komunikasi data tanpa kabel. Dengan Wireless FES yang menggunakan X-Bee Pro, diharapkan dapat semakin memudahkan dan mempercepat proses restorasi kelumpuhan pasien bagian bawah. Kata

Books/Thesis

2008

[1] Setiawan, Rachmad;, "Teknik Akuisisi Data", Graha Ilmu Yogyakarta, 2008

2006

[1] Setiawan, Rachmad;, "Mikrokontroler MCS-51", Graha Ilmu Yogyakarta, 2006

[2] Setiawan, Rachmad;, "Mikroprosesor 8088", Graha Ilmu Yogyakarta, 2006

[3] Setiawan, Rachmad;, "Teknik Interface", Graha Ilmu Yogyakarta, 2006

1900

[1] Setiawan, Rachmad;, "Programmable Peripheral Interface 8255A", Diktat Kuliah, 1900