Skip to main content

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. (KAR id:48210)

Microsoft Word (Abstract) Supplemental Material
Language: English
Download (31kB)
[thumbnail of Abstract]
This file may not be suitable for users of assistive technology.
Request an accessible format


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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Palaniappan Ramaswamy
Date Deposited: 10 Dec 2018 18:39 UTC
Last Modified: 16 Nov 2021 10:19 UTC
Resource URI: (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy:
  • Depositors only (login required):


Downloads per month over past year