Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A New Technique for Removal of Artifact from EEG Signal


Affiliations
1 DCR University of Science & Technology, Murthal, Sonepat, India
2 Department of Physiotherapy, GJUS&T, Hisar, Haryana, India
     

   Subscribe/Renew Journal


The surface electroencephalogram (EEG) is the electrical activity of the brain obtained by scalp electrodes. When eyes move, the electrical field around them changes and produces an electrical signal known as EOG. As this signal propagates over the scalp, it appears on the recorded EEG as noise or artifacts that should be removed in order to cancel its interpretation with background EEG. Because the magnitude of the EOG artifact is usually about the order of the amplitude of EEG signal, removing this artifact is one of the most important problems in studying the brain activities.

Keywords

Optic Nerve, Molecules, Chemical Reactions and Receptor Cells, or Photoreceptors.
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 260

PDF Views: 8




  • A New Technique for Removal of Artifact from EEG Signal

Abstract Views: 260  |  PDF Views: 8

Authors

Sandeep K. Jangra
DCR University of Science & Technology, Murthal, Sonepat, India
Mandeep K. Jangra
Department of Physiotherapy, GJUS&T, Hisar, Haryana, India

Abstract


The surface electroencephalogram (EEG) is the electrical activity of the brain obtained by scalp electrodes. When eyes move, the electrical field around them changes and produces an electrical signal known as EOG. As this signal propagates over the scalp, it appears on the recorded EEG as noise or artifacts that should be removed in order to cancel its interpretation with background EEG. Because the magnitude of the EOG artifact is usually about the order of the amplitude of EEG signal, removing this artifact is one of the most important problems in studying the brain activities.

Keywords


Optic Nerve, Molecules, Chemical Reactions and Receptor Cells, or Photoreceptors.