Time-varying evoked potentials: Monitoring and signal processing

N. V. Thakor, C. A. Vaz, G. Xin-rong, P. Poon, P. Laguna, R. Jane, P. Caminal, H. Rix

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Adaptive signal processing methods (adaptive impulse correlated filtering, and adaptive Fourier and Walsh function modeling) have been developed to record and analyze time-varying evoked potentials (EPs) in neurological critical care environments. Results show that the adaptive methods studied enhance the signal-to-noise ratio, and simultaneously track time-varying changes. The Fourier and Walsh function modeling approaches also identify incidence of injury from transient changes in the model parameters. It is argued that implementation of these algorithms in a real-time system would be useful in detecting injury to the brain in neurosurgery and neurological critical care.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages415-416
Number of pages2
Editionpt 1
ISBN (Print)0780302168
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

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

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