A study on wavelet analysis of SSVEP Signals

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Babu, Bincy and Chandrasekaran, R and Elsa Joseph, Josline and Shalem Rahul, Thella and R Thamizhvani, T and Josephin Arockia Dhivya, A (2018) A study on wavelet analysis of SSVEP Signals. International Journal of Engineering & Technology, 7 (2.25). p. 10. ISSN 2227-524X

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Official URL: https://doi.org/10.14419/ijet.v7i2.25.12354

Abstract

A study on wavelet analysis of SSVEP Signals Bincy Babu R Chandrasekaran Josline Elsa Joseph Thella Shalem Rahul T R Thamizhvani A Josephin Arockia Dhivya

Almost every Brain Control Interfcae (BCI) system is framed based on Steady State Visual Evoked Potential (SSVEP) which is predicted through distinguishing overriding frequency components in Electroencephalography (EEG) signals. The proposed system aims in accurate feature extraction of SSVEP signals. Power spectral analysis and wavelet analysis are done for feature analysis. The feature set variation for male and female subjects are obtained. Compared power spectral estimation and wavelet analysis, merits and demerits of each approach can be identified from the outcomes. It offers a theoretical reference of practical choice for BCI application.
05 03 2018 10 13 10.14419/ijet.v7i2.25.12354 https://www.sciencepubco.com/index.php/ijet/article/view/12354 https://www.sciencepubco.com/index.php/ijet/article/viewFile/12354/4909 https://www.sciencepubco.com/index.php/ijet/article/viewFile/12354/4909

Item Type:	Article
Subjects:	Biomedical Engineering > Biomedical Instrumentation
Domains:	Biomedical Engineering
Depositing User:	Mr IR Admin
Date Deposited:	02 Oct 2024 09:03
Last Modified:	02 Oct 2024 09:03
URI:	https://ir.vistas.ac.in/id/eprint/8033

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