Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG

被引：0
作者：
Balach, J. [1 ]
Jezdik, P. [1 ]
Cmejla, R. [1 ]
Krsek, P. [2 ]
Marusic, P. [3 ]
Jiruska, P. [4 ]
机构：
[1] Czech Tech Univ, Fac Elect Engn, CR-16635 Prague, Czech Republic
[2] Charles Univ Prague, Univ Hosp Motol, Fac Med, Dept Pediat Neurol, Prague, Czech Republic
[3] Charles Univ Prague, Univ Hosp Motol, Fac Med, Dept Neurol, Prague, Czech Republic
[4] Acad Sci Czech Republic, Inst Physiol, Dept Dev Epileptol, Prague, Czech Republic
来源：
2014 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA) | 2014年
关键词：
EEG; high-frequency oscillations; automated detection; algortithm comparision; epilepsy; AUTOMATED DETECTION; ENTORHINAL CORTEX; 80-500; HZ; EPILEPSY; SEIZURES; MACROELECTRODES; SLEEP; BRAIN;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：466 / 469
页数：4
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