Automatic detection of high-frequency oscillations in invasive recordings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F13%3A10389811" target="_blank" >RIV/00064203:_____/13:10389811 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/13:00205882 RIV/00216208:11130/13:10389811

Výsledek na webu

<a href="https://doi.org/10.1109/MeMeA.2013.6549741" target="_blank" >https://doi.org/10.1109/MeMeA.2013.6549741</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MeMeA.2013.6549741" target="_blank" >10.1109/MeMeA.2013.6549741</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic detection of high-frequency oscillations in invasive recordings

Popis výsledku v původním jazyce

High-frequency oscillations (HFOs) represent relatively new electrographic marker of epileptogenic tissue. It is starting to be used in presurgical examination to better plan surgical resection and to improve outcome of epilepsy surgery. 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. Application to experimental microelectrode recordings demonstrated satisfactory results with sensitivity 89.9% and false positive rate 2.1 per minute. Application of this algorithm to human invasive recordings achieved sensitivity 80%. High numbers of false positive detections required utilization of post-processing steps to eliminate the majority of them. This study shows that 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 non-stationarities. However, successful application to clinical practice requires development of secondary processing steps that will decrease the rate of false positive detections.

Název v anglickém jazyce

Automatic detection of high-frequency oscillations in invasive recordings

Popis výsledku anglicky

High-frequency oscillations (HFOs) represent relatively new electrographic marker of epileptogenic tissue. It is starting to be used in presurgical examination to better plan surgical resection and to improve outcome of epilepsy surgery. 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. Application to experimental microelectrode recordings demonstrated satisfactory results with sensitivity 89.9% and false positive rate 2.1 per minute. Application of this algorithm to human invasive recordings achieved sensitivity 80%. High numbers of false positive detections required utilization of post-processing steps to eliminate the majority of them. This study shows that 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 non-stationarities. However, successful application to clinical practice requires development of secondary processing steps that will decrease the rate of false positive detections.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MeMeA 2013 - IEEE International Symposium on Medical Measurements and Applications, Proceedings

ISBN

978-1-4673-5196-6

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

228-232

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Gatineau, QC

Datum konání akce

4. 3. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000326748000048