Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/35876
Title: Spatio-Temporal Approaches to Denoising and Feature Extraction in Rapid Image Triage
Authors: YU KE
Keywords: EEG, ERP, Rapid Image Triage, Spatio-Temporal Denoising, CSTP, BCSP
Issue Date: 2-May-2012
Source: YU KE (2012-05-02). Spatio-Temporal Approaches to Denoising and Feature Extraction in Rapid Image Triage. ScholarBank@NUS Repository.
Abstract: This doctorate work proposes several spatio-temporal algorithms for the single-trial detection of target event-related potentials (ERP), in order to boosting the performance of a rapid image triage system (RIT). RIT leverages the split-second human perception capability to optimize the target searching process. As the key component of RIT, novel denoising and feature extraction approaches are developed which take advantage of spatio-temporal propagation of ERP across the scalp for optimal discrimination. The overall performance on simulation experiments and real-life experiments has demonstrated the significance of the work.
URI: http://scholarbank.nus.edu.sg/handle/10635/35876
Appears in Collections:Ph.D Theses (Open)

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