International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 169 - Number 3 |
Year of Publication: 2017 |
Authors: Nelly Elsayed, Zaghloul Saad Zaghloul, Magdy Bayoumi |
10.5120/ijca2017914621 |
Nelly Elsayed, Zaghloul Saad Zaghloul, Magdy Bayoumi . Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions. International Journal of Computer Applications. 169, 3 ( Jul 2017), 12-16. DOI=10.5120/ijca2017914621
Brain Computer Interface (BCI) is often directed at mapping, assisting, or repairing human cognitive or sensory-motor functions. Electroencephalogram (EEG) is a non-invasive method of acquisition brain electrical activities. Noises are impure the EEG recorded signal due to the physiologic and extra-physiologic artifacts. There are several techniques are intended to manipulate the EEG recorded signal during the BCI preprocessing stage of to achieve preferable results at the learning stage. This paper aims to present an overview on BCI different EEG brain signal recording artifacts and the methodologies to remove these artifacts from the signal focusing on different novel trends at BCI research areas.