Gabor atom density as a measure of seizure complexity

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

Gabor atom density as a measure of seizure complexity

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

School of Medicine

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

The Gabor atom density (GAD) 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 EEG data recorded from intracranial electrodes in patients with intractable complex partial seizures. GAD shows that epileptic seizures, which are reflections of increased neuronal synchrony, are also periods of increased and changing signal complexity. The GAD/MP method is well suited to analyzing these signals from seizures characterized by rapid dynamical changes. The period of organized rhythmic activity exhibits lower complexity than that seen during other phases of the seizure.

Original language	English (US)
Pages (from-to)	310-312
Number of pages	3
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26 I
State	Published - 2004
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004

Keywords

Complex partial seizures
Epilepsy
Matching pursuit
Time-frequency decomposition

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

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title = "Gabor atom density as a measure of seizure complexity",

abstract = "The Gabor atom density (GAD) 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 EEG data recorded from intracranial electrodes in patients with intractable complex partial seizures. GAD shows that epileptic seizures, which are reflections of increased neuronal synchrony, are also periods of increased and changing signal complexity. The GAD/MP method is well suited to analyzing these signals from seizures characterized by rapid dynamical changes. The period of organized rhythmic activity exhibits lower complexity than that seen during other phases of the seizure.",

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

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year = "2004",

language = "English (US)",

volume = "26 I",

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journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

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T1 - Gabor atom density as a measure of seizure complexity

AU - Jouny, C. C.

AU - Franaszczuk, P. J.

AU - Adamolekun, B.

AU - Bergey, G. K.

PY - 2004

Y1 - 2004

N2 - The Gabor atom density (GAD) 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 EEG data recorded from intracranial electrodes in patients with intractable complex partial seizures. GAD shows that epileptic seizures, which are reflections of increased neuronal synchrony, are also periods of increased and changing signal complexity. The GAD/MP method is well suited to analyzing these signals from seizures characterized by rapid dynamical changes. The period of organized rhythmic activity exhibits lower complexity than that seen during other phases of the seizure.

AB - The Gabor atom density (GAD) 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 EEG data recorded from intracranial electrodes in patients with intractable complex partial seizures. GAD shows that epileptic seizures, which are reflections of increased neuronal synchrony, are also periods of increased and changing signal complexity. The GAD/MP method is well suited to analyzing these signals from seizures characterized by rapid dynamical changes. The period of organized rhythmic activity exhibits lower complexity than that seen during other phases of the seizure.

KW - Complex partial seizures

KW - Epilepsy

KW - Matching pursuit

KW - Time-frequency decomposition

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M3 - Conference article

AN - SCOPUS:11044233662

SN - 0589-1019

VL - 26 I

SP - 310

EP - 312

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Gabor atom density as a measure of seizure complexity

Abstract

Keywords

ASJC Scopus subject areas

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