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

Author

Nelson, Ryan ; Myers, Stephen M. ; Simonotto, Jennifer D. ; Furman, Michael D. ; Spano, Mark ; Norman, Wendy M. ; Liu, Zhao ; DeMarse, Thomas B. ; Carney, Paul R. ; Ditto, William L.

Author_Institution

Dept. of Biomed. Eng., Florida Univ., Gainesville, FL

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2578

Lastpage

2580

Abstract

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

Keywords

diseases; electroencephalography; medical signal detection; animal model; brain activity; frequency component; high frequency oscillation detection; intracranial EEG; limbic epilepsy; teager energy analysis; Animals; Biological neural networks; Brain modeling; Electroencephalography; Energy measurement; Epilepsy; Face detection; Frequency; Hafnium oxide; Spectrogram; High Frequency Oscillation; Teager Energy; latent period; limbic epilepsy;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259694

Filename

4462323