*Correspondence to Author: SANTOSH AGRAHARI Associate Professor, Department of Electrical and Electronics Engineer- ing, Poornima University, Jaipur How to cite this article: PARAG PURANIK, SANTOSH AGRAHARI, ASHISH PANAT. COMPARATIVE ANALYSIS OF CONTROLLED HEALTHY AND MCI PATIENTS USING EEG STA- TISTICS. American Journal of En- gineering Research and Reviews, 2020, 3:21 eSciPub LLC, Houston, TX USA. Website: https://escipub.com/ PARAG PURANIK et al., AJOERR, 2020, 3:21 American Journal of Engineering Research and Reviews (ISSN:2637-3785) Research Article AJOERR (2020) 3:21 COMPARATIVE ANALYSIS OF CONTROLLED HEALTHY AND MCI PATIENTS USING EEG STATISTICS 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 in- formation which is important clinically. Also, extracting signifcant features from EEG is an important task for classifcation between various patients. The analysis of EEG data provides correct fre- quency 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 PARAG PURANIK 1 , SANTOSH AGRAHARI 2 , ASHISH PANAT 3 1 Research Scholar, Department of Electrical and Electronics Engineering, Poornima University, Jaipur; 2 Associate Professor, Department of Electrical and Electronics Engineering, Poornima University, Jaipur; 3 Dean, Innovation and Incubation, SNDT Women’s University, Mumbai ABSTRACT AJOERR: https://escipub.com/american-journal-of-engineering-research-and-reviews/ 1