Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/18667
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Falzon, Owen | |
dc.contributor.author | Camilleri, Kenneth P. | |
dc.contributor.author | Muscat, Joseph | |
dc.date.accessioned | 2017-04-27T08:15:46Z | |
dc.date.available | 2017-04-27T08:15:46Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Falzon, O., Camilleri, K. P., & Muscat, J. (2010, August). Complex-valued spatial filters for task discrimination. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires. 4707-4710. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/18667 | |
dc.description | The research work disclosed in this publication is partially funded by Malta Government Scholarship Scheme grant number MGSS/2006/029. | en_GB |
dc.description.abstract | The method of common spatial patterns (CSP) has been widely adopted for the discrimination of mental tasks using EEG data. In this paper, some limitations of the standard CSP implementation when considering data where phase relationships play a significant role are highlighted. Furthermore, a variant of the CSP method based on the analytic representation of signals is proposed to make up for these drawbacks. The advantages of the proposed method over the standard CSP implementation are demonstrated using simulated data and tests with real EEG data. Specifically, it is shown that the complex-valued spatial filters and the derived spatial patterns can improve the discrimination process and give a more adequate representation of the tasks being considered, respectively. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Computer vision | en_GB |
dc.subject | Image analysis | en_GB |
dc.subject | Electroencephalography | en_GB |
dc.title | Complex-valued spatial filters for task discrimination | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society | en_GB |
dc.bibliographicCitation.conferenceplace | Buenos Aires, Argentina, 31/08-4/09/2010 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/IEMBS.2010.5626381 | |
Appears in Collections: | Scholarly Works - CenBC Scholarly Works - FacEngSCE Scholarly Works - FacSciMat |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Complex-Valued Spatial Filters for Task Discrimination.pdf Restricted Access | 471.65 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.