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Enhanced target detection using P300 and gamma band analysis

Cota, Navin Gupta, Palaniappan, Ramaswamy (2008) Enhanced target detection using P300 and gamma band analysis. Neuroscience Research, 61 . ISSN 0168-0102.

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Abstract

We present a novel method which uses the P300amplitudes and Gamma band energy for enhanced targetdetection in P300 paradigms which are being researchedtowards a brain biometric system. The novelty of thiswork lies in the usage of both P300 amplitudes alongwith gamma band features which were calculated fromaveraged waveforms using thirty trials (Target and Non-target) for eight channels. P300 amplitudes wascalculated in the 300-600ms range and Gamma bandenergy was computed in the 30-50 Hz using Shannonenergy for target and non-target. A simple decisionmaker was used to classify the obtained feature vectors.Initial results confirm the possibility of using gamma band energy along-with P300 analysis in an oddball paradigm for better classification accuracies. This studyoffers motivation warranting further need to explore thelinks between P300 and Gamma band in P300 paradigms.

Item Type: Article
Additional information: Unmapped bibliographic data: ST - Enhanced target detection using P300 and gamma band analysis [Field not mapped to EPrints] AN - WOS:000261548100322 [Field not mapped to EPrints]
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 10 Dec 2018 18:39 UTC
Last Modified: 29 May 2019 14:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48210 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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