Literature DB >> 21075680

Wavelet based algorithm for the estimation of frequency flow from electroencephalogram data during epileptic seizure.

Premananda Indic1, Jaishree Narayanan.   

Abstract

OBJECTIVE: EEG data during temporal lobe seizures have been reported to show lateralized buildup of theta activity. However the exact dynamics of the theta activity and its clinical significance are not known. In this work we present an approach using wavelets to study the frequency flow dynamics of this buildup.
METHODS: We employ continuous wavelet transform to obtain a time frequency representation of the EEG signal. Using a ridge extraction algorithm, the instantaneous frequency is estimated from the normalized scalogram. RESULT: We found that prior to the seizure onset, frequency flow builds up to 5-12 Hz range and the duration for which the frequency remains in this range gradually increases soon after the seizure onset. We also observed buildup at the adjacent regions. Such buildup characteristics are not seen during baseline conditions of the same patients.
CONCLUSIONS: Simultaneous buildup of frequency at the temporal and the adjacent regions indicates that during seizure the neuronal interactions propagate over large regions of the brain. SIGNIFICANCE: Given that activity in the 5-12 Hz frequency range is seen often in the more alert state, our findings suggest that the brain might be in a transient alert state prior to the epileptic seizure.
Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21075680     DOI: 10.1016/j.clinph.2010.10.030

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  3 in total

1.  Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG.

Authors:  Kais Gadhoumi; Jean-Marc Lina; Jean Gotman
Journal:  Clin Neurophysiol       Date:  2012-04-03       Impact factor: 3.708

2.  Goldindec: A Novel Algorithm for Raman Spectrum Baseline Correction.

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Journal:  Appl Spectrosc       Date:  2015-07       Impact factor: 2.388

3.  Quantitative Electroencephalography as a Biomarker for Cognitive Dysfunction in Parkinson's Disease.

Authors:  Kevin Novak; Bruce A Chase; Jaishree Narayanan; Premananda Indic; Katerina Markopoulou
Journal:  Front Aging Neurosci       Date:  2022-01-03       Impact factor: 5.750

  3 in total

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