Misc.

Oct, 2011

Amplitude-integrated EEG colored according to spectral edge frequency

EPILEPSY RESEARCH
  • Katsuhiro Kobayashi
  • ,
  • Nobuyoshi Mimaki
  • ,
  • Fumika Endoh
  • ,
  • Takushi Inoue
  • ,
  • Harumi Yoshinaga
  • ,
  • Yoko Ohtsuka

Volume
96
Number
3
First page
276
Last page
282
Language
English
Publishing type
DOI
10.1016/j.eplepsyres.2011.06.012
Publisher
ELSEVIER SCIENCE BV

Objective: To improve the interpretability of figures containing an amplitude-integrated electroencephalogram (aEEG), we devised a color scale that allows us to incorporate spectral edge frequency (SEF) information into aEEG figures. Preliminary clinical assessment of this novel technique, which we call aEEG/SEF, was performed using neonatal and early infantile seizure data.
Methods: We created aEEG, color density spectral array (DSA), and aEEG/SEF figures for focal seizures recorded in seven infants. Each seizure was paired with an interictal period from the same patient. After receiving instructions on how to interpret the figures, eight test reviewers examined each of the 72 figures displaying compressed data in aEEG, DSA, or aEEG/SEF form (12 seizures and 12 corresponding interictal periods) and attempted to identify each as a seizure or otherwise. They were not provided with any information regarding the original record.
Results: The median number of correctly identified seizures, out of a total of 12, was 7 (58.3%) for aEEG figures, 8 (66.7%) for DSA figures and 10 (83.3%) for aEEG/SEF figures; the differences among these are statistically significant (p=0.011). All reviewers concluded that aEEG/SEF figures were the easiest to interpret.
Conclusion: The aEEG/SEF data presentation technique is a valid option in aEEG recordings of seizures. (C) 2011 Elsevier B.V. All rights reserved.

Link information
DOI
https://doi.org/10.1016/j.eplepsyres.2011.06.012
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000296690200009&DestApp=WOS_CPL
ID information
  • DOI : 10.1016/j.eplepsyres.2011.06.012
  • ISSN : 0920-1211
  • Web of Science ID : WOS:000296690200009

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