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The 2017 and 2018 Iranian Brain-Computer Interface Competitions Publisher



Aghdam N1 ; Moradi M2 ; Shamsollahi M3 ; Nasrabadi A4 ; Setarehdan S5 ; Shalchyan V6 ; Faradji F7 ; Makkiabadi B1
Authors
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Authors Affiliations
  1. 1. Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
  3. 3. Department of Electrical Engineering, Biomedical Signal and Image Processing Laboratory, Sharif University of Technology, Tehran, Iran
  4. 4. Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
  5. 5. Control and Intelligent Processing Centre of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
  6. 6. Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
  7. 7. Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Source: Journal of Medical Signals and Sensors Published:2020


Abstract

This article summarizes the first and second Iranian brain-computer interface competitions held in 2017 and 2018 by the National Brain Mapping Lab. Two 64-channel electroencephalography (EEG) datasets were contributed, including motor imagery as well as motor execution by three limbs. The competitors were asked to classify the type of motor imagination or execution based on EEG signals in the first competition and the type of executed motion as well as the movement onset in the second competition. Here, we provide an overview of the datasets, the tasks, the evaluation criteria, and the methods proposed by the top-ranked teams. We also report the results achieved with the submitted algorithms and discuss the organizational strategies for future campaigns. © 2020 Isfahan University of Medical Sciences(IUMS). All rights reserved.
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