Entropy And Power Analysis Of Brain Signal Data By EEG Signal Processing

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Paper Details

Paper Title

Entropy And Power Analysis Of Brain Signal Data By EEG Signal Processing

Authors

Adiba Khurshid, Barkatullah

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Abstract

EEG is brain signal processing technique that allows gaining the understanding of the complex inner mechanisms of the brain and abnormal brain waves have shown to be associated with particular brain disorders. The analysis of brain waves plays an important role in diagnosis of different brain disorders. MATLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG dataset and other brain signal data different techniques such as independent component analysis (ICA) and/or time/frequency analysis (TFA), as well as standard averaging methods. In this project we will analyze the entropy and power of the brain signal by EEG signal processing and this work is implemented by using MATLAB.

Keywords- Keywords—EEG, Entropy, Wavelet Decomposition, Graphic user interface (GUI)

Publication Details

Unique Identification Number - IJEDR1603124
Page Number(s) - 759-763
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

Adiba Khurshid, Barkatullah, "Entropy And Power Analysis Of Brain Signal Data By EEG Signal Processing", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.759-763, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603124.pdf

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