Epileptic seizure focus detection from interictal electroencephalogram: a survey

MR Islam, X Zhao, Y Miao, H Sugano… - Cognitive neurodynamics, 2023 - Springer
Electroencephalogram (EEG) is one of most effective clinical diagnosis modalities for the
localization of epileptic focus. Most current AI solutions use this modality to analyze the EEG …

High-frequency oscillations in epilepsy and surgical outcome. A meta-analysis

Y Höller, R Kutil, L Klaffenböck… - Frontiers in human …, 2015 - frontiersin.org
High frequency oscillations (HFOs) are estimated as a potential marker for epileptogenicity.
Current research strives for valid evidence that these HFOs could aid the delineation of the …

Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis

S Burnos, P Hilfiker, O Sürücü, F Scholkmann… - PloS one, 2014 - journals.plos.org
Objectives High frequency oscillations (HFOs) have been proposed as a new biomarker for
epileptogenic tissue. The exact characteristics of clinically relevant HFOs and their detection …

[HTML][HTML] Detection of high-frequency oscillations in electroencephalography: A sco** review and an adaptable open-source framework

SM Wong, ON Arski, AM Workewych, E Donner, A Ochi… - Seizure, 2021 - Elsevier
Abstract Purpose High frequency oscillations (HFOs) are putative biomarkers of
epileptogenicity. These electrophysiological phenomena can be effectively detected in …

Automatic detection and classification of high-frequency oscillations in depth-EEG signals

N Jrad, A Kachenoura, I Merlet… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Goal: Interictal high-frequency oscillations (HFOs [30-600 Hz]) have proven to be relevant
biomarkers in epilepsy. In this paper, four categories of HFOs are considered: Gamma ([30 …

Double-step machine learning based procedure for HFOs detection and classification

N Sciaraffa, MA Klados, G Borghini, G Di Flumeri… - Brain sciences, 2020 - mdpi.com
The need for automatic detection and classification of high-frequency oscillations (HFOs) as
biomarkers of the epileptogenic tissue is strongly felt in the clinical field. In this context, the …

High‐Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence

P Höller, E Trinka, Y Höller - Computational Intelligence and …, 2018 - Wiley Online Library
High‐frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a
promising marker for epileptogenicity. A number of automated detection algorithms have …

A simple statistical method for the automatic detection of ripples in human intracranial EEG

K Charupanit, BA Lopour - Brain topography, 2017 - Springer
High frequency oscillations (HFOs) are a promising biomarker of epileptic tissue, but
detection of these electrographic events remains a challenge. Automatic detectors show …

Automated detection and classification of high frequency oscillations (HFOs) in human intracereberal EEG

S Chaibi, Z Sakka, T Lajnef, M Samet… - … Signal Processing and …, 2013 - Elsevier
Discrete high-frequency oscillations (HFOs) in the range of 80–500 Hz have previously been
recorded from human epileptic brains using intracereberal EEG and seem to be a reliable …

A new localization method for epileptic seizure onset zones based on time-frequency and clustering analysis

M Wu, T Wan, X Wan, Z Fang, Y Du - Pattern Recognition, 2021 - Elsevier
High-frequency oscillations (HFOs) are spontaneous electroencephalogram patterns that
have been regarded as potential biomarkers of epileptic seizure onset zones (SOZs) …