Muhammad Hilman Fatoni, S.T., M.T.

Profil Dosen

NIP   199103252015041001
Nama   Muhammad Hilman Fatoni, S.T., M.T.
Email   hilmanfatoni[at]bme.its.ac.id
mhilman.fatoni[at]gmail.com
hiltonneutron[at]yahoo.com
Pendidikan   S1: ITS, Teknik Elektro - Elektronika (2008-2012)
S2: ITS, Teknik Elektro - Elektronika (2011-2014)
Research Interest   Signal processing, Biosignal (EMG,EEG,ECG), Brain computer interface (BCI), Human machine interface (HMI)


Penelitian dan Publikasi

Research


2013-2014, Analisa Sinyal EEG Saat Menggerakkan Kedua Kaki Sebagai FES Control Command Pada Proses Rehabilitasi Pasien Pasca Stroke

Publications

Conference Proceedings

2017

[1] Aliansyah; Achmad Nur, Arifin; Achmad, Purwanto; Djoko , Fatoni; Muhammad Hilman, "Extraction of Brain Signal during Motor Imagery Task for Wheelchair Control Command", International Conference on Research & Innovation in Computer, Electronics and Manufacturing Engineering (RICEME-17), Feb. 2-3, 2017. Bali (Indonesia). pp. 25.

Abstract—Paralysis is a disease that causes loss of function from one or more muscle. When someone is paralyzed, the brain still works to obtain information about body activities. While doing or imagining movement, the similar response occurs in the brain. The purpose of this study was to detect any change the value of Event Related Desynchronization/Event Related Synchronization (ERD/ERS) during event. Time-frequency domain analysis was used to determine the frequency dominant when it occurred. This
information would be used as a Band Pass Filter for calculating the value of ERD/ERS. In this research, EEG signals were acquired from channel C3, C3-F3, C4, and C4-F4 base on international system
10/20 from EEG. The findings show that the range of frequency dominant from selected channels on all subject is 8-12Hz. The value of ERD/ERS was changed 64.43% in channel C3 and 60% in channel
C3-F3 whereas in channel C4 was 64.43% and 66.67% in channel C4-F4. The change of value of ERD/ERS would be used as control command for wheelchair in the next research topic.

[2] Seminar Nasional Bioteknologi 2014 UBAYA, "Analisa Sinyal EEG Saat Menggerakkan Kedua Kaki Sebagai FES Control Command Pada Proses Rehabilitasi Pasien Pasca Stroke", Surabaya, 27 -28 Februari 2014.