Automatic detection of high-frequency oscillations in invasive recordings

0441029 - FGÚ 2015 RIV CA eng C - Conference Paper (international conference)
Havel, T. - Janča, R. - Ježdík, P. - Čmejla, R. - Kršek, P. - Jefferys, J. G. R. - Marusič, P. - Jiruška, Přemysl
Automatic detection of high-frequency oscillations in invasive recordings.
2013 IEEE International Symposium on Medical Measurements and Applications Proceedings. Ottawa: IEEE Instrumentation & Measurement Society IEEE Ottawa Section, 2013, s. 228-232. ISBN 978-1-4673-5195-9.
[IEEE International Symposium on Medical Measurements and Applications /8./. Gatineau (CA), 04.05.2013-05.05.2013]
Institutional support: RVO:67985823
Keywords : detector * high-frequency oscillations * intracranial * electroencephalography * microelectrodes * macroelectrodes
Subject RIV: FH - Neurology

High-frequency oscillations (HFOs) represent new electrographic marker of epileptogenic tissue. Development of new techniques of unsupervised HFOs detection is required to further investigate the role of HFO in the pathophysiology of epilepsy and to increase the yield of presurgical examination. In this study we applied an envelope distribution modelling technique on experimental and human invasive data to detect HFOs. Envelope distribution modelling represents a promising approach to detect HFOs in intracranial recordings. Advantages of this approach are quick adjustments to changes in background activity and resistance to signal nonstationarities
Permanent Link: http://hdl.handle.net/11104/0244082