Automatic characterization of dynamics in Absence Epilepsy

Katrine N. H. Petersen; Trine N. Nielsen; Troels W. Kjær; Carsten E. Thomsen; Helge B. D. Sorensen

doi:10.1109/EMBC.2013.6610492

Automatic characterization of dynamics in Absence Epilepsy

Katrine N. H. Petersen, Trine N. Nielsen, Troels W. Kjær, Carsten E. Thomsen, Helge B. D. Sorensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Dynamics of the spike-wave paroxysms in Childhood Absence Epilepsy (CAE) are automatically characterized using novel approaches. Features are extracted from scalograms formed by Continuous Wavelet Transform (CWT). Detection algorithms are designed to identify an estimate of the temporal development of frequencies in the paroxysms. A database of 106 paroxysms from 26 patients was analyzed. The database is large compared to other known studies in the field of dynamics in CAE. CWT is more efficient than the widely used Fourier transform due to CWTs ability to recognize smaller discontinuities and variations. The use of scalograms and the detection algorithms result in a potentially usable clinical tool for dividing CAE patients into subsets. Differences between the grouped paroxysms may turn out to be useful from a clinical perspective as a prognostic indicator or when adjusting drug treatment.

Original language	English
Title of host publication	IEEE Engineering in medicine and biology society conference proceedings
Publisher	IEEE
Publication date	2013
Pages	4283 - 4286
ISBN (Print)	9781457702167
DOIs	https://doi.org/10.1109/EMBC.2013.6610492
Publication status	Published - 2013
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Oaska International Convention Center, Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 Conference number: 35 https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	35
Location	Oaska International Convention Center
Country/Territory	Japan
City	Osaka
Period	03/07/2013 → 07/07/2013
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding

Keywords

drugs
electroencephalography
feature extraction
Fourier transforms
medical disorders
medical signal detection
paediatrics
patient treatment
wavelet transforms
Engineered Materials, Dielectrics and Plasmas

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@inproceedings{a54fda7053fd485c8cf9400e30f61790,

title = "Automatic characterization of dynamics in Absence Epilepsy",

abstract = "Dynamics of the spike-wave paroxysms in Childhood Absence Epilepsy (CAE) are automatically characterized using novel approaches. Features are extracted from scalograms formed by Continuous Wavelet Transform (CWT). Detection algorithms are designed to identify an estimate of the temporal development of frequencies in the paroxysms. A database of 106 paroxysms from 26 patients was analyzed. The database is large compared to other known studies in the field of dynamics in CAE. CWT is more efficient than the widely used Fourier transform due to CWTs ability to recognize smaller discontinuities and variations. The use of scalograms and the detection algorithms result in a potentially usable clinical tool for dividing CAE patients into subsets. Differences between the grouped paroxysms may turn out to be useful from a clinical perspective as a prognostic indicator or when adjusting drug treatment.",

keywords = "drugs, electroencephalography, feature extraction, Fourier transforms, medical disorders, medical signal detection, paediatrics, patient treatment, wavelet transforms, Engineered Materials, Dielectrics and Plasmas",

author = "Petersen, {Katrine N. H.} and Nielsen, {Trine N.} and Kj{\ae}r, {Troels W.} and Thomsen, {Carsten E.} and Sorensen, {Helge B. D.}",

year = "2013",

doi = "10.1109/EMBC.2013.6610492",

language = "English",

isbn = "9781457702167",

pages = "4283 -- 4286 ",

booktitle = "IEEE Engineering in medicine and biology society conference proceedings",

publisher = "IEEE",

address = "United States",

note = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

url = "https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding",

}

Petersen, KNH, Nielsen, TN, Kjær, TW, Thomsen, CE & Sorensen, HBD 2013, Automatic characterization of dynamics in Absence Epilepsy. in IEEE Engineering in medicine and biology society conference proceedings. IEEE, pp. 4283 - 4286 , 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 03/07/2013. https://doi.org/10.1109/EMBC.2013.6610492

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AU - Petersen, Katrine N. H.

AU - Nielsen, Trine N.

AU - Kjær, Troels W.

AU - Thomsen, Carsten E.

AU - Sorensen, Helge B. D.

N1 - Conference code: 35

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AB - Dynamics of the spike-wave paroxysms in Childhood Absence Epilepsy (CAE) are automatically characterized using novel approaches. Features are extracted from scalograms formed by Continuous Wavelet Transform (CWT). Detection algorithms are designed to identify an estimate of the temporal development of frequencies in the paroxysms. A database of 106 paroxysms from 26 patients was analyzed. The database is large compared to other known studies in the field of dynamics in CAE. CWT is more efficient than the widely used Fourier transform due to CWTs ability to recognize smaller discontinuities and variations. The use of scalograms and the detection algorithms result in a potentially usable clinical tool for dividing CAE patients into subsets. Differences between the grouped paroxysms may turn out to be useful from a clinical perspective as a prognostic indicator or when adjusting drug treatment.

KW - drugs

KW - electroencephalography

KW - feature extraction

KW - Fourier transforms

KW - medical disorders

KW - medical signal detection

KW - paediatrics

KW - patient treatment

KW - wavelet transforms

KW - Engineered Materials, Dielectrics and Plasmas

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BT - IEEE Engineering in medicine and biology society conference proceedings

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T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 3 July 2013 through 7 July 2013

ER -

Automatic characterization of dynamics in Absence Epilepsy

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