Kalman filter-based time-varying cortical connectivity analysis of newborn EEG

A. H. Omidvarnia, M. Mesbah, M. S. Khlif, J. M. O'Toole, P. B. Colditz, B. Boashash

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

Abstract

Multivariate Granger causality in the time-frequency domain as a representation of time-varying cortical connectivity in the brain has been investigated for the adult case. This is, however, not the case in newborns as the nature of the transient changes in the newborn EEG is different from that of adults. This paper aims to evaluate the performance of the time-varying versions of the two popular Granger causality measures, namely Partial Directed Coherence (PDC) and direct Directed Transfer Function (dDTF). The parameters of the time-varying AR, that models the inter-channel interactions, are estimated using Dual Extended Kalman Filter (DEKF) as it accounts for both non-stationarity and non-linearity behaviors of the EEG. Using simulated data, we show that fast changing cortical connectivity between channels can be measured more accurately using the time-varying PDC. The performance of the time-varying PDC is also tested on a neonatal EEG exhibiting seizure.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages1423-1426
Number of pages4
DOIs
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Fingerprint

Electroencephalography
Kalman filters
Newborn Infant
Extended Kalman filters
Causality
Transfer functions
Brain
Seizures

ASJC Scopus subject areas

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

Cite this

Omidvarnia, A. H., Mesbah, M., Khlif, M. S., O'Toole, J. M., Colditz, P. B., & Boashash, B. (2011). Kalman filter-based time-varying cortical connectivity analysis of newborn EEG. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 1423-1426). [6090335] https://doi.org/10.1109/IEMBS.2011.6090335

Kalman filter-based time-varying cortical connectivity analysis of newborn EEG. / Omidvarnia, A. H.; Mesbah, M.; Khlif, M. S.; O'Toole, J. M.; Colditz, P. B.; Boashash, B.

33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 1423-1426 6090335.

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

Omidvarnia, AH, Mesbah, M, Khlif, MS, O'Toole, JM, Colditz, PB & Boashash, B 2011, Kalman filter-based time-varying cortical connectivity analysis of newborn EEG. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090335, pp. 1423-1426, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6090335
Omidvarnia AH, Mesbah M, Khlif MS, O'Toole JM, Colditz PB, Boashash B. Kalman filter-based time-varying cortical connectivity analysis of newborn EEG. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 1423-1426. 6090335 https://doi.org/10.1109/IEMBS.2011.6090335
Omidvarnia, A. H. ; Mesbah, M. ; Khlif, M. S. ; O'Toole, J. M. ; Colditz, P. B. ; Boashash, B. / Kalman filter-based time-varying cortical connectivity analysis of newborn EEG. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 1423-1426
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