DETECTION AND REMOVAL OF ARTIFACTS FROM EEG RECORDS- A REVIEW


DETECTION AND REMOVAL OF ARTIFACTS FROM EEG RECORDS- A REVIEW


SAGAR S. MOTDHARE and ARUN DEV DHAR DWIVEDI

Department of Electronics Engineering, Poornima University, Jaipur.


Electroencephalogram or EEG is a trace of Brain action from different locales of the cerebrum. It is the electrical movement and activity determined by putting the electrode terminals on the scalp. Artifacts are unnecessary noise signals in an EEG record. These noise in recording EEG sham a major mortification for EEG interpretation and disposal. Categorization of artifacts depends on source of its creation similar to Physiological artifacts along with Exterior artifacts. Recognition of artifacts, identification of artifacts as well as eradication of artifacts is a significant procedure to diminish the possibility of false impression of EEG not only for clinical but also for non-clinical fields. The majority of recording convention. There are various strategies for artifact removal which incorporates manual and automatic techniques. Morphology and Electrical distinctiveness of artifacts can show the way to fake elucidation that is intolerable in support of clinical as well as non clinical utilization. Thus artifacts in EEG signals must be removed or minimized before further interpretation. The presented paper describes a review on detection, classification and removal/ minimization of the recorded EEG signal artifacts.


Keywords: EEG Signal, Artifacts, Artifact Detection, Artifact Removal.


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How to cite this article:
SAGAR S. MOTDHARE and ARUN DEV DHAR DWIVEDI. DETECTION AND REMOVAL OF ARTIFACTS FROM EEG RECORDS- A REVIEW. Subclinical chronic sinusitis causing presumed ventriculoperitoneal shunt sepsis in a child. American Journal of Engineering Research and Reviews, 2020, 3:22


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