| Literature DB >> 17946122 |
Ryan Nelson1, Stephen M Myers, Jennifer D Simonotto, Michael D Furman, Mark Spano, Wendy M Norman, Zhao Liu, Thomas B DeMarse, Paul R Carney, William L Ditto.
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.Entities:
Mesh：
Year: 2006 PMID： 17946122 DOI： 10.1109/IEMBS.2006.259694
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X