Use of a running signal to noise ratio to identify voluntary event related cortical potentials

M. M. Rohde, J. E. Huggins, S. L. BeMent, S. P. Levine, R. K. Kushwaha, L. A. Schuh, D. A. Ross

Research output: Contribution to journalConference article

Abstract

Signal to noise ratio (SNR) measures have long been used to examine the quality of evoked potential recordings. Recently, Ozdamar and Delgado derived an energy based SNR measure and applied it to auditory brainstem responses. Preliminary evidence is presented that this running SNR estimate can also be used to identify voluntary, motor related, cortical potentials using a very small number of trials. The running SNR indicator is applied to actual electrocorticogram (ECoG) recordings, and it's ability to identify voluntary event related potential (VERP) estimates is compared with the morphologically based peak to mean (pm) ratio measure developed in an earlier work by Huggins, et al. The running SNR based classification is shown to distinguish between supra-threshold pm-ratio VERP estimates yielding good cross correlation results from those that perform poorly.

Original languageEnglish (US)
Pages (from-to)1500-1503
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume4
StatePublished - Dec 1 1997
EventProceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA
Duration: Oct 30 1997Nov 2 1997

ASJC Scopus subject areas

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

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