Learning machines and slee** brains: automatic sleep stage classification using decision-tree multi-class support vector machines

T Lajnef, S Chaibi, P Ruby, PE Aguera… - Journal of neuroscience …, 2015 - Elsevier
Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …

A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering

Y Du, B Sun, R Lu, C Zhang, H Wu - Neurocomputing, 2019 - Elsevier
This paper proposes a method to detect the high-frequency oscillations (HFOs) in epileptic
seizure onset zones (SOZs) localization using semi-supervised k-means and mean shift …

A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA

S Chaibi, T Lajnef, Z Sakka, M Samet… - Journal of neuroscience …, 2014 - Elsevier
Recent studies have reported that discrete high frequency oscillations (HFOs) in the range of
80–500 Hz may serve as promising biomarkers of the seizure focus in humans. Visual …

A portable electrocardiogram for real-time monitoring of cardiac signals

M Ehnesh, P Abatis, FS Schlindwein - SN Applied Sciences, 2020 - Springer
This study presents an electrocardiogram (ECG) monitoring and processing system which
can observe subjects in real time and display the resultant ECG signals on a computer for …

Fast, accurate localization of epileptic seizure onset zones based on detection of high-frequency oscillations using improved wavelet transform and matching pursuit …

M Wu, T Wan, X Wan, Y Du, J She - Neural computation, 2017 - direct.mit.edu
This letter describes the improvement of two methods of detecting high-frequency
oscillations (HFOs) and their use to localize epileptic seizure onset zones (SOZs). The …

EMHapp: a pipeline for the automatic detection, localization and visualization of epileptic magnetoencephalographic high-frequency oscillations

W Cui, M Cao, X Wang, L Zheng, Z Cen… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. High-frequency oscillations (HFOs) are promising biomarkers for localizing
epileptogenic brain tissue. Previous studies have revealed that HFOs that present …

A Study of Epileptogenic Foci Localization Algorithm Based on Automatic Detection of Comprehensive Feature HFOs and RF-LR

Y Du, G Li - Chinese Journal of Electronics, 2025 - ieeexplore.ieee.org
Studies have shown that fast ripples of 250–500 Hz in epileptic electroencephalography
(EEG) signals are more pathological and closer to the epileptogenic focus itself compared to …

Deep Learning for scalp High Frequency Oscillations Identification

G Milon-Harnois, N Jrad, D Schang… - 2022 30th European …, 2022 - ieeexplore.ieee.org
Since last 2 decades, High Frequency Oscillations (HFOs) are studied as a promising
biomarker to localize the epileptogenic zone of patients with refractory focal epilepsy. As …

A comparative study between three epileptic high frequency oscillations detection strategies

F Krikid, S Chaibi, A Karfoul, A Kachouri… - … Multi-Conference on …, 2020 - ieeexplore.ieee.org
In the past few years, visual detection of High Frequency Oscillations (HFOs) has led to a
good understanding of the fundamental neural mechanisms underlying epileptic …

Accurate localization of seizure onset zones based on multi-feature extraction and wavelet time-frequency map

Y Du, B Sun - 2018 37th Chinese Control Conference (CCC), 2018 - ieeexplore.ieee.org
Recent studies have found that high-frequency oscillations (HFOs) in the 80 Hz to 500 Hz
band of electroencephalogram (EEG) are important biomarkers for locating the Seizure …