Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters
"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, a new method is proposed for onset seizure detection in epileptic EEG signa...
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2019
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Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/1604 |
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I32-R138-123456789-16042022-12-07T15:14:49Z Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters Zorgno, Ivanna Blanc, María Cecilia Oxenford, Simón Gil Garbagnoli, Francisco D'Giano, Carlos Quintero-Rincón, Antonio EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES "Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, a new method is proposed for onset seizure detection in epileptic EEG signals based on parameters from the t-location-scale distribution coupled with the variance and the Pearson correlation coefficient. The 1-nearest neighbor classifier achieved a 91% sensitivity (True positive rate) and 95% specificity (True Negative Rate) with a delay of 4.5 seconds (on average) in the 45 signals analyzed, which suggests that the proposed methodology is potentially useful for seizure onset detection in epileptic EEG signals." 2019-05-29T17:44:58Z 2019-05-29T17:44:58Z 2018 Póster http://ri.itba.edu.ar/handle/123456789/1604 en info:eu-repo/grantAgreement/ITBA/ITBACyT/2017/AR. Ciudad Autónoma de Buenos Aires application/pdf |
institution |
Instituto Tecnológico de Buenos Aires (ITBA) |
institution_str |
I-32 |
repository_str |
R-138 |
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Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) |
language |
Inglés |
topic |
EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES |
spellingShingle |
EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES Zorgno, Ivanna Blanc, María Cecilia Oxenford, Simón Gil Garbagnoli, Francisco D'Giano, Carlos Quintero-Rincón, Antonio Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
topic_facet |
EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES |
description |
"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, a new method is proposed for onset seizure detection in epileptic EEG signals based on parameters from the t-location-scale distribution coupled with the variance and the Pearson correlation coefficient. The 1-nearest neighbor classifier achieved a 91% sensitivity (True positive rate) and 95% specificity (True Negative Rate) with a delay of 4.5 seconds (on average) in the 45 signals analyzed, which suggests that the proposed methodology is potentially useful for seizure onset detection in epileptic EEG signals." |
format |
Póster |
author |
Zorgno, Ivanna Blanc, María Cecilia Oxenford, Simón Gil Garbagnoli, Francisco D'Giano, Carlos Quintero-Rincón, Antonio |
author_facet |
Zorgno, Ivanna Blanc, María Cecilia Oxenford, Simón Gil Garbagnoli, Francisco D'Giano, Carlos Quintero-Rincón, Antonio |
author_sort |
Zorgno, Ivanna |
title |
Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
title_short |
Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
title_full |
Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
title_fullStr |
Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
title_full_unstemmed |
Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters |
title_sort |
epilepsy seizure onset detection applying 1-nn classifier based on statistical parameters |
publishDate |
2019 |
url |
http://ri.itba.edu.ar/handle/123456789/1604 |
work_keys_str_mv |
AT zorgnoivanna epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters AT blancmariacecilia epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters AT oxenfordsimon epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters AT gilgarbagnolifrancisco epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters AT dgianocarlos epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters AT quinterorinconantonio epilepsyseizureonsetdetectionapplying1nnclassifierbasedonstatisticalparameters |
_version_ |
1765660714145415168 |