The ۲۰۱۷ and ۲۰۱۸ Iranian Brain–Computer Interface Competitions
Publish place: Journal of medical signals and sensors، Vol: 10، Issue: 3
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JMSI-10-3_008
تاریخ نمایه سازی: 28 تیر 1402
Abstract:
This article summarizes the first and second Iranian brain–computer interface competitions held in
۲۰۱۷ and ۲۰۱۸ by the National Brain Mapping Lab. Two ۶۴‑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.
Keywords:
Authors
Nasser Samadzadeh Aghdam
Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran
Mohammad Hassan Moradi
Department of Biomedical Engineering, Amirkabir University of Technology
Mohammad Bagher Shamsollahi
Department of Electrical Engineering, Biomedical Signal and Image Processing Laboratory, Sharif University of Technology
Ali Motie Nasrabadi
Department of Biomedical Engineering, Faculty of Engineering, Shahed University