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Brain computer interface design using band powers extracted during mental tasks

Palaniappan, Ramaswamy (2005) Brain computer interface design using band powers extracted during mental tasks. In: Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering. . pp. 321-324. IEEE ISBN 0-7803-8710-4. (doi:10.1109/CNE.2005.1419622) (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
http://dx.doi.org/10.1109/CNE.2005.1419622

Abstract

In this paper, a Brain Computer Interface (BCI) is designed using electroencephalogram (EEG) signals where the subjects have to think of only a single mental task. The method uses spectral power and power difference in 4 bands: delta and theta, beta, alpha and gamma. This could be used as an alternative to the existing BCI designs that require classification of several mental tasks. In addition, an attempt is made to show that different subjects require different mental task for minimising the error in BCI output. In the experimental study, EEG signals were recorded from 4 subjects while they were thinking of 4 different mental tasks. Combinations of resting (baseline) state and another mental task are studied at a time for each subject. Spectral powers in the 4 bands from 6 channels are computed using the energy of the Elliptic FIR filter output. The mental tasks are detected by a neural network classifier. The results show that classification accuracy up to 97.5% is possible, provided that the most suitable mental task is used. As an application, the proposed method could be used to move a cursor on the screen. If cursor movement is used with a translation scheme like Morse Code, the subjects could use the proposed BCI for constructing letters/words. This would be very useful for paralysed individuals to communicate with their external surroundings.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/CNE.2005.1419622
Additional information: Unmapped bibliographic data: C7 - 1419622 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Int. IEEE EMBS Conf. Neural Eng. [Field not mapped to EPrints] AD - Dept. of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - IEEE Engineering in Medicine and Biology Society; National Science Foundation; Institute of Physics; Office of Naval Research Global [Field not mapped to EPrints] C3 - 2nd International IEEE EMBS Conference on Neural Engineering [Field not mapped to EPrints]
Uncontrolled keywords: Brain, Electroencephalography, Human computer interaction, Man machine systems, Medical applications, Neural networks, BCI designs, Elliptic FIR filters, Mental tasks, Spectral power, Interfaces (computer)
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 11:57 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70737 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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