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Cross-correlation based μECoG waveform tracking.

Publication ,  Journal Article
Schubert, T; Trumpis, M; Rivilis, N; Viventi, J
Published in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
January 2014

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.

Duke Scholars

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2014

Volume

2014

Start / End Page

3264 / 3267

Related Subject Headings

  • Signal Processing, Computer-Assisted
  • Humans
  • Epilepsy
  • Electroencephalography
  • Electrodes
 

Citation

APA
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ICMJE
MLA
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Schubert, T., Trumpis, M., Rivilis, N., & Viventi, J. (2014). Cross-correlation based μECoG waveform tracking. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 3264–3267. https://doi.org/10.1109/embc.2014.6944319
Schubert, Thomas, Michael Trumpis, Nicole Rivilis, and Jonathan Viventi. “Cross-correlation based μECoG waveform tracking.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2014 (January 2014): 3264–67. https://doi.org/10.1109/embc.2014.6944319.
Schubert T, Trumpis M, Rivilis N, Viventi J. Cross-correlation based μECoG waveform tracking. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2014 Jan;2014:3264–7.
Schubert, Thomas, et al. “Cross-correlation based μECoG waveform tracking.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2014, Jan. 2014, pp. 3264–67. Epmc, doi:10.1109/embc.2014.6944319.
Schubert T, Trumpis M, Rivilis N, Viventi J. Cross-correlation based μECoG waveform tracking. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2014 Jan;2014:3264–3267.

Published In

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

DOI

EISSN

2694-0604

ISSN

2375-7477

Publication Date

January 2014

Volume

2014

Start / End Page

3264 / 3267

Related Subject Headings

  • Signal Processing, Computer-Assisted
  • Humans
  • Epilepsy
  • Electroencephalography
  • Electrodes