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The 2017 and 2018 Iranian Brain-Computer interface competitions

Aghdam, N ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.4103/jmss.JMSS_65_19
  3. Publisher: Isfahan University of Medical Sciences(IUMS) , 2020
  4. Abstract:
  5. 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
  6. Keywords:
  7. Brain-computer interface ; Electroencephalography ; Motor execution ; Motor imagery ; Movement onset ; Adult ; Arm movement ; Article ; Association ; Back propagation neural network ; Brain mapping ; Competition ; Discrete cosine transform ; Electroencephalogram ; Electromyogram ; Electrooculogram ; Executive function ; Feature selection ; Female ; Foot ; Fourier transform ; Human ; imagery ; Imagination ; Information processing ; Interdisciplinary research ; Iran ; k nearest neighbor ; Male ; Motor activity ; Motor cortex ; movement (physiology) ; Multilayer perceptron ; Muscle contraction ; Normal human ; Priority journal ; Radial basis function ; Random forest ; Receiver operating characteristic ; Short time Fourier transform ; Support vector machine ; Thumb
  8. Source: Journal of Medical Signals and Sensors ; Volume 10, Issue 3 , 2020 , Pages 208-216
  9. URL: http://jmss.mui.ac.ir/index.php/jmss/article/view/539