Corpus ID: 220793346

Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning

@article{Ghorbanzade2020SelectionOP,
  title={Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning},
  author={Ghazale Ghorbanzade and Zahra Nabizadeh-ShahreBabak and S. Samavi and N. Karimi and Ali Emami and P. Khadivi},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.12764}
}
Brain signals could be used to control devices to assist individuals with disabilities. Signals such as electroencephalograms are complicated and hard to interpret. A set of signals are collected and should be classified to identify the intention of the subject. Different approaches have tried to reduce the number of channels before sending them to a classifier. We are proposing a deep learning-based method for selecting an informative subset of channels that produce high classification… Expand

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