A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces

AYDEMİR Ö., Ergün E.

JOURNAL OF NEUROSCIENCE METHODS, cilt.313, ss.60-67, 2019 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 313
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.jneumeth.2018.12.004
  • Dergi Adı: JOURNAL OF NEUROSCIENCE METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.60-67
  • Anahtar Kelimeler: Brain computer interface, Channel selection, Feature extraction, Classification, COMMON SPATIAL-PATTERN, EEG SIGNALS, MOTOR-IMAGERY, CLASSIFICATION, MOVEMENT, ALGORITHM
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Background: The input signals of electroencephalography (EEG) based brain computer interfaces (BCI) are extensively acquired from scalp with a multi-channel system. However, multi-channel signals might contain redundant information and increase computational complexity. Furthermore, using only effective channels, rather than all channels, may enhance the performance of the BCI in terms of classification accuracy (CA).