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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electronics and Instrumentation Systems Jurnal Ilmu Dasar TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of Engineering and Technological Sciences Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Mechanical Engineering Science and Technology Jurnal Elektronika dan Telekomunikasi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurnal Rekayasa elektrika
Anam, Khairul
Department Of Electrical Engineering, Universitas Jember
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

 1 
Myoelectric Control Systems for Hand Rehabilitation Device: A Review Khairul Anam; Ahmad Adib Rosyadi; Bambang Sujanarko; Adel Al-Jumaily
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.72 KB) | DOI: 10.11591/eecsi.v4.1054

Abstract

One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.
Steering System of Electric Vehicle using Extreme Learning Machine Sofyan Ahmadi; Khairul Anam; Azmi Saleh
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2096

Abstract

The development of electric vehicle technology is currently increasing and growing very fast. Some efforts have been conducted, one of which is using BLDC (brushless direct current) motors to improve efficiency. This study utilized extreme learning machine (ELM) embedded on the microcontroller as well as the differential method for controlling the rotational speed of the BLDC motor. The experimental results on the acceleration testing by traveling a distance of 200 meters achieved the average current of 1.09 amperes. The average power efficiency test is 104 watts. Furthermore, the results of the efficiency experiment with a track length of 3.3 km (kilometers) in 10 minutes obtained the energy efficiency of 177.34 km/kWh (kilowatt for one hour)
Co-Authors Adel Al-Jumaily Adel Al-Jumaily Adi Mulyadi Ahmad Adib Rosyadi Ahmad Iqbal Nasrudin Ahmad Rausan Fikri AHMADI, SOFYAN Al-Jumaily, Adel Ali Rizal Chaidir Andrita Ceriana Eska Azmi Saleh Azmi Shaleh Azmy Akhyar Al Insani Bambang Sri Kaloko Bambang Sujanarko Cries Avian Cries Avian Donny Setiawan Efendi, Dicky Yusril Faruq Sandi Hanggara Harun Ismail Ihsanul Azmi Kartika Senjarini M. Agung Prawira N Mahros Darsin Mohamad Agung Prawira Negara, Mohamad Agung Muchamad Arif Hana Sasono Muhammad Nuh Mulyadi, Fikri Qoyima, Rosida Amalia Nurul Rike Oktarianti Rizal, Ahmad Ayyub Syaiful Safri Nahela Sasono, Muchamad Arif Hana Siti Tsaniyatul Miratis Sulthoniyah Sutikno Sutikno Sutikno Sutikno Wibowo, Robertoes Koekoeh K. Widhi Winata Sakti Widya Cahyadi Wira Adi Winata