Complexity-based analysis of the dynamic of propagation of epileptic seizures

C. C. Jouny; P. J. Franaszczuk; G. K. Bergey

doi:10.1109/CNE.2005.1419577

Complexity-based analysis of the dynamic of propagation of epileptic seizures

C. C. Jouny, P. J. Franaszczuk, G. K. Bergey

School of Medicine

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Partial seizures originate from focal regions of epileptogenesis and have variable patterns of regional propagation. To study these patterns, we used the Gabor atom density (GAD) which is a measure of complexity of a signal. It is based on the time-frequency decomposition obtained by the matching pursuit (MP) algorithm. The GAD/MP method was applied to EEC data recorded from intracranial electrodes in patients with intractable epileptic seizures. Seizures analyzed include partial and generalized tonic-clonic events. GAD analyses show that this complexity measure can facilitate the identification of temporal patterns of propagation of epileptic seizures. Local measure of GAD complexity can be an indicator of regional propagation and therefore be a key to identify critical moments in seizure evolution that could be useful in the developing interventions for seizure control.

Original language	English (US)
Pages	155-157
Number of pages	3
DOIs	https://doi.org/10.1109/CNE.2005.1419577
State	Published - 2005
Event	2nd International IEEE EMBS Conference on Neural Engineering, 2005 - Arlington, VA, United States Duration: Mar 16 2005 → Mar 19 2005

Other

Other	2nd International IEEE EMBS Conference on Neural Engineering, 2005
Country/Territory	United States
City	Arlington, VA
Period	3/16/05 → 3/19/05

Keywords

Complex partial seizures
Epilepsy
Generalization
Matching pursuit
Propagation
Time-frequency decomposition

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/CNE.2005.1419577

Cite this

@conference{4c4655161afd4f64a625e4a644f604e3,

title = "Complexity-based analysis of the dynamic of propagation of epileptic seizures",

abstract = "Partial seizures originate from focal regions of epileptogenesis and have variable patterns of regional propagation. To study these patterns, we used the Gabor atom density (GAD) which is a measure of complexity of a signal. It is based on the time-frequency decomposition obtained by the matching pursuit (MP) algorithm. The GAD/MP method was applied to EEC data recorded from intracranial electrodes in patients with intractable epileptic seizures. Seizures analyzed include partial and generalized tonic-clonic events. GAD analyses show that this complexity measure can facilitate the identification of temporal patterns of propagation of epileptic seizures. Local measure of GAD complexity can be an indicator of regional propagation and therefore be a key to identify critical moments in seizure evolution that could be useful in the developing interventions for seizure control.",

keywords = "Complex partial seizures, Epilepsy, Generalization, Matching pursuit, Propagation, Time-frequency decomposition",

author = "Jouny, {C. C.} and Franaszczuk, {P. J.} and Bergey, {G. K.}",

year = "2005",

doi = "10.1109/CNE.2005.1419577",

language = "English (US)",

pages = "155--157",

note = "2nd International IEEE EMBS Conference on Neural Engineering, 2005 ; Conference date: 16-03-2005 Through 19-03-2005",

}

TY - CONF

T1 - Complexity-based analysis of the dynamic of propagation of epileptic seizures

AU - Jouny, C. C.

AU - Franaszczuk, P. J.

AU - Bergey, G. K.

PY - 2005

Y1 - 2005

N2 - Partial seizures originate from focal regions of epileptogenesis and have variable patterns of regional propagation. To study these patterns, we used the Gabor atom density (GAD) which is a measure of complexity of a signal. It is based on the time-frequency decomposition obtained by the matching pursuit (MP) algorithm. The GAD/MP method was applied to EEC data recorded from intracranial electrodes in patients with intractable epileptic seizures. Seizures analyzed include partial and generalized tonic-clonic events. GAD analyses show that this complexity measure can facilitate the identification of temporal patterns of propagation of epileptic seizures. Local measure of GAD complexity can be an indicator of regional propagation and therefore be a key to identify critical moments in seizure evolution that could be useful in the developing interventions for seizure control.

AB - Partial seizures originate from focal regions of epileptogenesis and have variable patterns of regional propagation. To study these patterns, we used the Gabor atom density (GAD) which is a measure of complexity of a signal. It is based on the time-frequency decomposition obtained by the matching pursuit (MP) algorithm. The GAD/MP method was applied to EEC data recorded from intracranial electrodes in patients with intractable epileptic seizures. Seizures analyzed include partial and generalized tonic-clonic events. GAD analyses show that this complexity measure can facilitate the identification of temporal patterns of propagation of epileptic seizures. Local measure of GAD complexity can be an indicator of regional propagation and therefore be a key to identify critical moments in seizure evolution that could be useful in the developing interventions for seizure control.

KW - Complex partial seizures

KW - Epilepsy

KW - Generalization

KW - Matching pursuit

KW - Propagation

KW - Time-frequency decomposition

UR - http://www.scopus.com/inward/record.url?scp=33744487638&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33744487638&partnerID=8YFLogxK

U2 - 10.1109/CNE.2005.1419577

DO - 10.1109/CNE.2005.1419577

M3 - Paper

AN - SCOPUS:33744487638

SP - 155

EP - 157

T2 - 2nd International IEEE EMBS Conference on Neural Engineering, 2005

Y2 - 16 March 2005 through 19 March 2005

ER -

Complexity-based analysis of the dynamic of propagation of epileptic seizures

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this