This study investigates the diagnostic sensitivity of gamma/beta and alpha/gamma ratios in discriminating dementia patients from healthy subjects. Our analysis uses EEG based Multivariate Fourier Decomposition method to extract the features of brain rhythms (alpha, gamma and beta) and their respective ratios for characterization. These features are analyzed using correlation in the sub-band of the envelope. Based on the results of this study, we propose that features gamma/beta and alpha/gamma ratios can be further analyzed using an extension of this method to fully evaluate their potential in the characterization of dementia. © 2016 IEEE.

Vijay Kumar Chakka

Electrical Engineering

(SoE) School of Engineering

Kapoor E.

Johnson V.

Pati S.

<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

Fourier decomposition method based descriptor of EEG signals to identify dementia

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

The Fourier decomposition method for nonlinear and non-stationary time series analysis

Circuits, Systems, and Signal Processing

Fourier-Based Feature Extraction for Classification of EEG Signals Using EEG Rhythms

The Scientific World Journal

Role of EEG as Biomarker in the Early Detection and Classification of Dementia

IEEE Signal Processing Magazine

Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis

IEEE Transactions on Signal Processing

Filter Bank Property of Multivariate Empirical Mode Decomposition