Research Article of American Journal of Engineering Research and Reviews
COMPARATIVE ANALYSIS OF CONTROLLED HEALTHY AND MCI PATIENTS USING EEG STATISTICS
PARAG PURANIK1, SANTOSH AGRAHARI2, ASHISH PANAT3
1Research Scholar, Department of Electrical and Electronics Engineering, Poornima University, Jaipur; 2Associate Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur; 3Dean, Innovation and Incubation, SNDT Women’s University, Mumbai
This paper describes the statistical analysis of EEG signals. EEG examination is carried out and compared between controlled healthy and Mild cognitive impairment (MCI) patients which may further develop dementia or Alzheimer disease. The statistical techniques provide the comparative analysis of EEG signal. The correct evaluation of EEG provides the extraction of valuable information which is important clinically. Also, extracting significant features from EEG is an important task for classification between various patients. The analysis of EEG data provides correct frequency rhythms. The relative Power spectral density values by Auto Regressive-Burg process cleared that; associated with the control group, the relative PSD is improved in the theta rhythmic range while expressively reduced in the alpha-2 rhythmic range.
Keywords: EEG analysis, Mild cogbitive impairment (MCI), EEG statistics, Power spectral Density (PSD), coherence analysis
How to cite this article:
PARAG PURANIK, SANTOSH AGRAHARI, ASHISH PANAT. COMPARATIVE ANALYSIS OF CONTROLLED HEALTHY AND MCI PATIENTS USING EEG STATISTICS. American Journal of Engineering Research and Reviews, 2020, 3:21.
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