Skip to main content

On the linearity/non-linearity of mental activity EEG for brain-computer interface design

Balli, T., Palaniappan, Ramaswamy, Mandic, D.P. (2007) On the linearity/non-linearity of mental activity EEG for brain-computer interface design. In: IFMBE Proceedings. 15. pp. 451-454. Springer ISBN 978-3-540-68016-1. (doi:10.1007/978-3-540-68017-8_114) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1007/978-3-540-68017-8_114

Abstract

In this study, we investigated the linearity/nonlinearity of mental activity electroencephalogram (EEG) signals for Brain-Computer Interface (BCI) designs using the recent but well established Delay Vector Variance (DVV) method. EEG data recorded from seven subjects while they were performing five different mental activities were used in the experimental study. Through the use of DVV, it was investigated whether EEG signals would become linear or nonlinear when segmented into smaller parts. Concluding, the results of the studies showed that a large percentage of the EEG signals exhibited non-linear behaviour. This is an important result as it shows that the currently used linear modelling methods are mostly unsuitable.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1007/978-3-540-68017-8_114
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - IFMBE Proc. [Field not mapped to EPrints] AD - Department of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] AD - Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - [Field not mapped to EPrints] C3 - IFMBE Proceedings [Field not mapped to EPrints]
Uncontrolled keywords: Brain-Computer Interface, Delay Vector Variance, Electroencephalogram, Non-linearity analysis, Surrogate data, Biomedical engineering, Brain, Electroencephalography, Interfaces (computer), Delay vector variances, EEG signals, Electroencephalogram signals, Mental activity, Modelling method, Non-linearity analysis, Nonlinear behaviours, Surrogate data, Brain computer interface
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 18:46 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70726 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
  • Depositors only (login required):