A Review on EEG Signal Analysis |
Author(s): |
| Pooja J. Kulkarni , Pillai HOC College of Engineering and Technology, Rasayani |
Keywords: |
| Electroencephalogram, Acquisition, Pre-Processing, Feature Extraction, Classification |
Abstract |
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Electroencephalogram (EEG) is a tool which is used to monitor the electrical activity of the brain. EEG signals identify brain simulations accurately so that we can get correct information from the brain. This information can be used to classify with different mental tasks. It is very much useful in brain-disease diagnosis and assessment of various brain diseases. The raw data collected from the electrical activity generated in the brain undergoes through various steps, namely: signal acquisition, data preprocessing, feature extraction, and classification. This paper presents the different methods and algorithms which are used in each of the above mentioned processes. |
Other Details |
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Paper ID: IJSRDV9I110095 Published in: Volume : 9, Issue : 11 Publication Date: 01/02/2022 Page(s): 66-70 |
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