A study on performance increasing in SSVEP based BCI application


Erkan E., AKBABA M.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, cilt.21, ss.421-427, 2018 (ESCI İndekslerine Giren Dergi)

  • Cilt numarası: 21 Konu: 3
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1016/j.jestch.2018.04.002
  • Dergi Adı: ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
  • Sayfa Sayısı: ss.421-427

Özet

People which are afflicted with neurological conditions or neurodegenerative diseases can't control own muscles by neural pathways. Brain computer interface (BCI) systems offer these people another alternative path from their own neural pathways. This alternative pathway is the direct use of brain signals by a computer without using any vocal muscle. The steady state visual evoked potential (SSVEP) approach currently provides the high performance and reliable communication for the implementation of a non-invasive BCI. In SSVEP based BCI systems, Electroencephalography (EEG) signal detection time (signal window length) and accuracy are the most important performance parameters. Performance is usually measured by Information Transfer Rate (ITR).