title: Detection of high frequency oscillations with Teager energy in an animal model of limbic epilepsy.
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.
authors.affiliation: Dept. of Biomed. Eng., Florida Univ., Gainesville, FL, USA.
authors.forename: Ryan
authors.initials: R
authors.lastname: Nelson
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Myers
authors.forename: Jennifer D
authors.initials: JD
authors.lastname: Simonotto
authors.forename: Michael D
authors.initials: MD
authors.lastname: Furman
authors.forename: Mark
authors.initials: M
authors.lastname: Spano
authors.forename: Wendy M
authors.initials: WM
authors.lastname: Norman
authors.forename: Zhao
authors.initials: Z
authors.lastname: Liu
authors.forename: Thomas B
authors.initials: TB
authors.lastname: DeMarse
authors.forename: Paul R
authors.initials: PR
authors.lastname: Carney
authors.forename: William L
authors.initials: WL
authors.lastname: Ditto
mesh_terms: D000465:Algorithms; D000818:Animals; D001931:Brain Mapping / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004195:Disease Models, Animal; D004562:Electrocardiography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology*; D008032:Limbic System / Q000503:physiopathology*; D009991:Oscillometry / Q000379:methods*; D051381:Rats