DocumentCode :
186247
Title :
Comparison of algorithms for detection of high frequency oscillations in intracranial EEG
Author :
Balach, J. ; Jezdik, P. ; Cmejla, R. ; Krsek, P. ; Marusic, P. ; Jiruska, P.
Author_Institution :
Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear :
2014
fDate :
11-12 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
High frequency oscillations (HFOs) are novel biomarkers of epileptogenic tissue. Visual identification of HFO in long-term EEG recordings is time consuming due to low HFOs rate, low signal-to-noise ratio and presence of biological and technical artifacts. In this study, we have examined several algorithms of HFOs detection to facilitate analysis of intracranial recordings and increase their diagnostic yield. We have evaluated three newly designed and three published HFOs detectors. Detectors were applied on datasets containing HFOs labeled by experienced readers and their performance evaluated. Results of the detection and properties of the algorithms are reviewed and discussed in respect to clinical practice and their possible utilization during the diagnostic workup in patients with epilepsy.
Keywords :
biological tissues; electroencephalography; medical disorders; medical signal detection; HFO detection; HFO rate; algorithm properties; biological artifacts; biomarkers; clinical practice; diagnostic workup; diagnostic yield; epilepsy; epileptogenic tissue; high frequency oscillations; intracranial EEG; intracranial recording; long-term EEG recordings; signal-to-noise ratio; technical artifacts; visual identification; Band-pass filters; Detectors; Epilepsy; Hafnium oxide; Oscillators; Standards; EEG; algortithm comparision; automated detection; epilepsy; high-frequency oscillations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
Type :
conf
DOI :
10.1109/MeMeA.2014.6860107
Filename :
6860107
Link To Document :
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