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IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Scaled correlation analysis of electroencephalography: a new measure of signal influence

Content Provider	IET Digital Library
Author	Ahirwal, Mitul K. Kumar, Anil Singh, Girish K. Londhe, Narendra D. Suri, Jasjit S.
Abstract	Electroencephalography (EEG) signals recording are the mixture of electrical potentials generated from different sources. These signals are influenced by different potentials. Currently, there exists no measure that can evaluate the measure influence among the signals. A new measure of influence has been proposed based on the distribution of correlation (DCOR) that quantifies the relative influence of constituent sub-band signals over full band signal. To estimate the inter-influence, scaled correlation analysis of signal sub-components is investigated. Results so obtained demonstrate that the signal influence of highest-frequency components present in the signal is more in case of linear/stationary signals, compared with non-linear/non-stationary (EEG/event related potential) signals. These findings are concluded with two types of analysis: (i) mixed influence analysis and (ii) mutual influence analysis. It is demonstrated that for separation of negative and positive correlations (CORs) using the proposed novel measure of signal influence (DCOR) is 14.24% better than other conventional COR method.
Starting Page	585
Ending Page	596
Page Count	12
ISSN	17518822
Volume Number	10
e-ISSN	17518830
Issue Number	Issue 6, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2015.0299
Journal	IET Science, Measurement & Technology
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Potentials Bioelectric Signal Biology And Medical Computing Correlation Method DCOR Analysis Digital Signal Processing Distribution of Correlation Analysis EEG Signal Recording Electrical Potential Generation Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Electroencephalography Signal Recording Linear-stationary Signal Medical Signal Processing Mixed Influence Analysis Mutual Influence Analysis Nonlinear-nonstationary Signal Scaled Correlation Analysis Signal Processing And Detection
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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