Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.

Detalhes bibliográficos
Autor(a) principal: Inacio, Guilherme Silva
Data de Publicação: 2019
Tipo de documento: Trabalho de conclusão de curso
Idioma: eng
Título da fonte: Repositório Institucional da UFSC
Texto Completo: https://repositorio.ufsc.br/handle/123456789/203098
Resumo: TCC(graduação) - Universidade Federal de Santa Catarina. Campus Araranguá. Engenharia da Computação.
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spelling Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.Data MiningEpilepsyPredictive analysisElectroencephalographyEpileptiform DischargesTCC(graduação) - Universidade Federal de Santa Catarina. Campus Araranguá. Engenharia da Computação.Epilepsy is a group of neurological diseases that affects up to 1% of the world’s population. About a third of the patients diagnosed with epilepsy are considered with difficult treatment (refractory), this group of patients can benefit from a resective surgery, that removes the epileptogenic tissue of the brain. Nowadays, the exams for the delineation of the areas for resection are still imprecise, and one of the techniques for a better definition of these brain areas require electrophysiological examination with invasive intracranial long-term electroencephalography monitoring (iEEG). One of the strategies for determining the epileptogenic zone (EZ) is to analyze the interictal data of patients with favorable outcomes and unfavorable outcomes with respect to the surgery resected areas and determine the statistical significance between them. A detection, analysis, and clustering data mining algorithm was used in order to extract information of 52 patients with focal cortical dysplasia (FCD) epilepsy. The detection algorithm identifies the interictal epileptiform discharges (IEDs) and arranges the detected activities into clusters given the patterns of spreading. For the statistical analysis, a comparison of the clustered data from three different vigilance epochs (sleep, awake and the combination of both) identified the most relevant epoch for identifying the epileptogenic areas and extract additional parameters. The results showed that the combined epoch of awake and sleep showed strong statistical significance in relation to the outcomes, followed by sleep and awake, respectively. Furthermore, given the positive results of the first analysis, an additional data mining was done in order to utilize the algorithm’s outputs to predict the patient’s FCD group, a predictive model was trained and displayed accuracy greater than 80% when tested with non-trained data.Araranguá, SCGonçalves, Alexandre LeopoldoJanča, RadekUniversidade Federal de Santa CatarinaInacio, Guilherme Silva2019-12-17T21:23:18Z2019-12-17T21:23:18Z2019-11-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisapplication/pdfhttps://repositorio.ufsc.br/handle/123456789/203098info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFSCinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSC2019-12-26T14:07:56Zoai:repositorio.ufsc.br:123456789/203098Repositório InstitucionalPUBhttp://150.162.242.35/oai/requestopendoar:23732019-12-26T14:07:56Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
title Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
spellingShingle Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
Inacio, Guilherme Silva
Data Mining
Epilepsy
Predictive analysis
Electroencephalography
Epileptiform Discharges
title_short Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
title_full Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
title_fullStr Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
title_full_unstemmed Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
title_sort Data mining of Intracranial Interictal EEG recordings of Epilepsy patients with focal cortical dysplasia.
author Inacio, Guilherme Silva
author_facet Inacio, Guilherme Silva
author_role author
dc.contributor.none.fl_str_mv Gonçalves, Alexandre Leopoldo
Janča, Radek
Universidade Federal de Santa Catarina
dc.contributor.author.fl_str_mv Inacio, Guilherme Silva
dc.subject.por.fl_str_mv Data Mining
Epilepsy
Predictive analysis
Electroencephalography
Epileptiform Discharges
topic Data Mining
Epilepsy
Predictive analysis
Electroencephalography
Epileptiform Discharges
description TCC(graduação) - Universidade Federal de Santa Catarina. Campus Araranguá. Engenharia da Computação.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-17T21:23:18Z
2019-12-17T21:23:18Z
2019-11-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bachelorThesis
format bachelorThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.ufsc.br/handle/123456789/203098
url https://repositorio.ufsc.br/handle/123456789/203098
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Araranguá, SC
publisher.none.fl_str_mv Araranguá, SC
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSC
instname:Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
institution UFSC
reponame_str Repositório Institucional da UFSC
collection Repositório Institucional da UFSC
repository.name.fl_str_mv Repositório Institucional da UFSC - Universidade Federal de Santa Catarina (UFSC)
repository.mail.fl_str_mv
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