Evaluation of Stationary Wavelet Transforms
in Reconstruction of Pure High Frequency
Oscillations (HFOs)
Thouraya Guesmi
1,3(&) , Abir Hadriche
1,2,3 , Nawel Jmail
3,4 ,
and Chokri Ben Amar
2
1 Institut Supérieur d’Informatique et de Multimédia,
Gabes University, Teboulbou, Tunisia
Thouraya.guesmi@isimg.tn, abir.hadriche.tn@ieee.org
2 Research Groups on Intelligent Machines Laboratory, REGIM, ENIS,
Sfax University, Sfax, Tunisia
chokri.benamar@ieee.org
3 Digital Research Centre of Sfax, Sfax University, Sfax, Tunisia
naweljmail@yahoo.fr
4 Multimedia Information Systems and Advanced Computing Laboratory,
MIRACL, Sfax University, Sfax, Tunisia
Abstract. High frequency oscillations (HFO) from, MEG (magnetoencephalography) and intracerebral EEG are considered as effective tools to
identify cognitive status and several cortical disorders especially in epilepsy
diagnosis.
The aim of our study is to evaluate stationary wavelet transform (SWT) technique performance in efficient reconstruction of pure epileptic high frequency
oscillations, reputed as biomarkers of epileptogenic zones: generators of inter
ictal epileptic discharges, and offhand seizures.
We applied SWT on simulated and real database to detect non-contaminated
HFO by spiky element. For simulated data, we computed the GOF of reconstruction that reaches for all studied constraint (relative amplitude, frequency,
SNR and overlap) a promising results. For real data we used time frequency
domain to evaluate SWT robustness of HFO reconstruction. We proved that
SWT is an efficient filtering technique for separation HFO from spiky events. Our
results would have an important impact on the definition of epileptogenic zones.
Keywords: IEEG signal Á Epilepsy Á HFOs Á SWT Á GOF Á SNR
1 Introduction
Over the past 15 years, researchers have shown usefulness of intra-cerebral activity
above 70 Hz: High frequency oscillations (HFO) as efficient biomarkers for epileptogenicity. HFO has been considered as a clue of seizure build up and it appears especially, during ictal period. In fact HFO are exhibited as two sub band: ripples (80200)
and fast ripples beyond 200 Hz [1].
© The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 357–363, 2020.
https://doi.org/10.1007/978-3-030-51517-1_32
in Reconstruction of Pure High Frequency
Oscillations (HFOs)
Thouraya Guesmi
1,3(&) , Abir Hadriche
1,2,3 , Nawel Jmail
3,4 ,
and Chokri Ben Amar
2
1 Institut Supérieur d’Informatique et de Multimédia,
Gabes University, Teboulbou, Tunisia
Thouraya.guesmi@isimg.tn, abir.hadriche.tn@ieee.org
2 Research Groups on Intelligent Machines Laboratory, REGIM, ENIS,
Sfax University, Sfax, Tunisia
chokri.benamar@ieee.org
3 Digital Research Centre of Sfax, Sfax University, Sfax, Tunisia
naweljmail@yahoo.fr
4 Multimedia Information Systems and Advanced Computing Laboratory,
MIRACL, Sfax University, Sfax, Tunisia
Abstract. High frequency oscillations (HFO) from, MEG (magnetoencephalography) and intracerebral EEG are considered as effective tools to
identify cognitive status and several cortical disorders especially in epilepsy
diagnosis.
The aim of our study is to evaluate stationary wavelet transform (SWT) technique performance in efficient reconstruction of pure epileptic high frequency
oscillations, reputed as biomarkers of epileptogenic zones: generators of inter
ictal epileptic discharges, and offhand seizures.
We applied SWT on simulated and real database to detect non-contaminated
HFO by spiky element. For simulated data, we computed the GOF of reconstruction that reaches for all studied constraint (relative amplitude, frequency,
SNR and overlap) a promising results. For real data we used time frequency
domain to evaluate SWT robustness of HFO reconstruction. We proved that
SWT is an efficient filtering technique for separation HFO from spiky events. Our
results would have an important impact on the definition of epileptogenic zones.
Keywords: IEEG signal Á Epilepsy Á HFOs Á SWT Á GOF Á SNR
1 Introduction
Over the past 15 years, researchers have shown usefulness of intra-cerebral activity
above 70 Hz: High frequency oscillations (HFO) as efficient biomarkers for epileptogenicity. HFO has been considered as a clue of seizure build up and it appears especially, during ictal period. In fact HFO are exhibited as two sub band: ripples (80200)
and fast ripples beyond 200 Hz [1].
© The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 357–363, 2020.
https://doi.org/10.1007/978-3-030-51517-1_32