Department of Mathematics
 Search | Help | Login | pdf version | printable version

Math @ Duke





.......................

.......................


Publications [#243798] of Mauro Maggioni

Papers Published

  1. Prichep, LS; Causevic, E; Coifman, RR; Isenhart, R; Jacquin, A; John, ER; Maggioni, M; Warner, FJ, QEEG-based classification with wavelet packet and microstate features for triage applications in the ER, IEEE International Conference on Acoustics Speech and Signal Processing, vol. 3 (2006), pp. III1136-III1139, ISSN 1520-6149
    (last updated on 2017/12/12)

    Abstract:
    We describe methods for the classification of brain state using quantitative analysis of the EEG (QEEG). Neurometric analysis of EEG collected from the 19 standard locations of the International 10-20 System already provides such a tool. In this work we demonstrate the effectiveness of this approach when the available inputs are reduced to a set of five frontal electrodes. This system has applications in certain critical clinical care situations, such as emergency room triage, when a full EEG might be unavailable, inconvenient, or time-consuming. Additionally, we augment the standard neurometric QEEG analysis with local discriminant basis features of the power spectrum and microstate-like features which exploit the rich temporal structure of the EEG. These enhancements provide clear gains in sensitivity and specificity on a representative database. © 2006 IEEE.

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320