Robust classification of multichannel match and mismatch evoked potentials

L. Gupta, J. W. Phegley, D. L. Molfese

Research output: Contribution to journalConference article

Abstract

A methodology which included response normalization, dimensionality reduction, and the application of a fusion rule was developed to robustly classify multi-channel match and mismatch EPs. Results show the improvement in classification using ss-normalization. The majority fusion rule was presented.

Original languageEnglish (US)
Pages (from-to)1302-1308
Number of pages7
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2000
Event22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: Jul 23 2000Jul 28 2000

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Robust classification of multichannel match and mismatch evoked potentials'. Together they form a unique fingerprint.

  • Cite this