Cross-correlation based μECoG waveform tracking.

Published

Journal Article

Clinical electrodes for epileptic seizure monitoring traditionally require a tradeoff between coverage area and spatial resolution. However, with multiplexed, flexible array devices, high spatial resolution is possible over large surface areas. This high resolution data, recorded from 360 electrodes or more, is difficult to review manually for subtle patterns. Here we develop innovative methods for visualizing micro-electrocorticography (μECoG) datasets. The data contains seizure and non-seizure dynamics that can be used to better understand how seizures begin, progress, and end. Novel visualization techniques allow the researcher to better understand the data by arranging it in accessible ways. This paper presents tools to visualize a seizure waveform's velocity and location over a given window of time.

Full Text

Duke Authors

Cited Authors

  • Schubert, T; Trumpis, M; Rivilis, N; Viventi, J

Published Date

  • January 2014

Published In

Volume / Issue

  • 2014 /

Start / End Page

  • 3264 - 3267

PubMed ID

  • 25570687

Pubmed Central ID

  • 25570687

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/embc.2014.6944319

Language

  • eng