Detection of High Frequency Oscillations with Teager Energy in an Animal Model of Limbic Epilepsy

High frequency oscillations (HFO) in limbic epilepsy represent a marked difference between abnormal and normal brain activity. Faced with the difficult of visually detecting HFOs in large amounts of intracranial EEG data, it is necessary to develop an automated process. This paper presents Teager En...

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Bibliographic Details
Published in:2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, p.2578-2580
Main Authors: Nelson, R., Myers, S.M., Simonotto, J.D., Furman, M.D., Spano, M., Norman, W.M., Zhao Liu, DeMarse, T.B., Carney, P.R., Ditto, W.L.
Format: Article
Language:English
Subjects:
Animals
Biological neural networks
Brain modeling
Electroencephalography
Energy measurement
Epilepsy
Face detection
Frequency
Hafnium oxide
High Frequency Oscillation
latent period
limbic epilepsy
Spectrogram
Teager Energy
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Summary:High frequency oscillations (HFO) in limbic epilepsy represent a marked difference between abnormal and normal brain activity. Faced with the difficult of visually detecting HFOs in large amounts of intracranial EEG data, it is necessary to develop an automated process. This paper presents Teager Energy as a method of finding HFOs. Teager energy is an ideal measure because unlike conventional energy it takes into account the frequency component of the signal as well as signal amplitude. This greatly aids in the dissection of HFOs out of the noise and other signals contained in the EEG. Therein, Teager energy analysis is able to detect high-frequency, low-amplitude components that conventional energy measurements would miss
ISSN:1557-170X
DOI:10.1109/IEMBS.2006.259694