Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/19744Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Camilleri, Kenneth P. | - |
| dc.contributor.author | Camilleri, Tracey A. | - |
| dc.contributor.author | Fabri, Simon G. | - |
| dc.date.accessioned | 2017-06-08T14:19:11Z | - |
| dc.date.available | 2017-06-08T14:19:11Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.citation | Camilleri, K. P., Cassar, T. A., & Fabri, S. G. (2011). Parametric modelling of EEG data for the identification of mental tasks. In Laskovski, A. N. (ed.), Biomedical engineering, trends in electronics, communications and software. Rijeka: InTech. 367-386. | en_GB |
| dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/19744 | - |
| dc.description.abstract | Electroencephalographic (EEG) data is widely used as a biosignal for the identification of different mental states in the human brain. EEG signals can be captured by relatively inexpensive equipment and acquisition procedures are non-invasive and not overly complicated. On the negative side, EEG signals are characterized by low signal-to-noise ratio and non-stationary characteristics, which makes the processing of such signals for the extraction of useful information a challenging task. | en_GB |
| dc.language.iso | en | en_GB |
| dc.publisher | InTech | en_GB |
| dc.rights | info:eu-repo/semantics/openAccess | en_GB |
| dc.subject | Electroencephalography | en_GB |
| dc.subject | Parameter estimation | en_GB |
| dc.subject | Biomedical engineering | en_GB |
| dc.title | Parametric modelling of EEG data for the identification of mental tasks | en_GB |
| dc.type | bookPart | 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.description.reviewed | peer-reviewed | en_GB |
| dc.identifier.doi | 10.5772/13383 | - |
| Appears in Collections: | Scholarly Works - FacEngSCE | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| OA Chapter - Parametric Modelling of EEG Data for the Identification of Mental Tasks-2-21.pdf | 520.6 kB | Adobe PDF | View/Open |
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