Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery


AYDEMİR Ö. , KAYIKÇIOĞLU T.

JOURNAL OF NEUROSCIENCE METHODS, vol.229, pp.68-75, 2014 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 229
  • Publication Date: 2014
  • Doi Number: 10.1016/j.jneumeth.2014.04.007
  • Title of Journal : JOURNAL OF NEUROSCIENCE METHODS
  • Page Numbers: pp.68-75

Abstract

Background: Input signals of an EEG based brain computer interface (BCI) system are naturally non-stationary, have poor signal to noise ratio, depend on physical or mental tasks and are contaminated with various artifacts such as external electromagnetic waves, electromyogram and electrooculogram. All these disadvantages have motivated researchers to substantially improve speed and accuracy of all components of the communication system between brain and a BCI output device.