This is the development of ECG for LEAD I based on AVR microcontroller. The software was developed using codevision and the hardware was developed using ATMEGA16
Month: April 2017
Upper Limb Exoskeleton based on myoelectric control
This video was part of my dissertation to get my Ph.D. The exoskeleton was driven directly using a gear box DC servo motor. EMG was amplified using amplifier AD620. ARM STM32F429 was used as the main controller, to extract the EMG signal (feature extraction), to process the signal digitally and to drive the servo motor.
Embedded digital signal processing for elbow joint angle estimation
This board is consist of bio-amplifier and ARMSTM32F429. The bioamplifier is to collect the EMG signal and elbow joint angle. Microcontroller ARM used to process the EMG signal using time domain features extraction and to control the servo motor.
Elbow joint angle estimation using time domain features
Ascot Waterplace
Visiting a birthday celebration of my neighbor at Ascot Waterplace Pakuwon Trade Center (PTC).
Vacation to Minipark Pacet Mojokerto
It is a Thursday and the first time I visit this place Minipark
How to find our ID scopus?
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Research Projects
Here is my research project on biomedical signal processing
International Conferences In-proceedings (Scopus indexed)
International Conferences In-proceedings
- Triwiyanto, Wahyunggoro, O., & Nugroho, H. A. (2016). Quantitative Relationship Between Feature Extraction of sEMG and Upper Limb Elbow Joint Angle. In 2016 International Seminar on Application for Technology of Information and Communication (pp. 44–50). Surabaya: IEEE.10.1109/ISEMANTIC.2016.7873808
- Triwiyanto, Wahyunggoro, O., & Nugroho, Hanung Adi, H. (2016). String Actuated Upper Limb Exoskeleton Based on Surface Electromyography Control. In 2016 6th International Annual Engineering Seminar (InAES) (pp. 178–181). Yogyakarta: IEEE Conference Publications. http://doi.org/10.1109/INAES.2016.7821929
- Triwiyanto, T., Wahyunggoro, O., Nugroho, H. A., & Herianto, H. (2016). DWT Analysis of sEMG for Muscle Fatigue Assessment of Dynamic Motion Flexion-Extension of Elbow Joint. In 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE) (pp. 1–6). Yogyakarta: IEEE Conference Publications. http://doi.org/10.1109/ICITEED.2016.7863300.
Profile
Qualification
- Ph.D. in Electronic (Ongoing), Gadjah Mada University, Yogyakarta, Indonesia
Dissertation: Elbow-joint angle estimation to control Exoskeleton based electromyography. - M.S. in Electronic (2004), Institut Technology of Sepuluh Nopember, Surabaya, Indonesia
Thesis: Muscle Fatigue Assessment of Elbow-Joint Using Fast Fourier Transform Method - B.S. in Instrumentation Physics (1997), Airlangga University, Surabaya, Indonesia
Previous Experience
- Lecturer (1998 -2015): Microcontroller, Sensor, and Transducer, Calibration for Medical instruments at Department of Electromedical Engineering, Polytechnic of Health Surabaya, Ministry of Health, Indonesia.
- Society Membership: IEEE member
- Professional Researcher ID:
Scopus ID: 57193573834,
ORCID: orcid.org/0000-0003-3179-8900