A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific
"Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which results from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this infor...
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I32-R138-123456789-16032022-12-07T15:14:47Z A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific Racca, Dora María Quintero-Rincón, Antonio Muro, Valeria D'Giano, Carlos EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES "Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which results from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an important problem in biomedical processing. In this work we propose a new method to indentify and characterize patient specific spike-and-wave EEG epileptic signals. The method is based on the use of trained neuronal networks on probability density function parameters of the translation and rescaling of the Student'st-distribution (location: µ,scale: σ and shape: ν) of pure spike-and-wave-signals. The neuronal network was trained with both normal and epileptic signals. The study resulted in 100% specificity and sensitivity on the studied signals." 2019-05-29T17:17:01Z 2019-05-29T17:17:01Z 2018 Póster http://ri.itba.edu.ar/handle/123456789/1603 en info:eu-repo/grantAgreement/ITBA/ITBACyT/2016/AR. Ciudad Autónoma de Buenos Aires 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 Racca, Dora María Quintero-Rincón, Antonio Muro, Valeria D'Giano, Carlos A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
topic_facet |
EPILEPSIA ELECTROENCEFALOGRAFIA PROCESAMIENTO DE SEÑALES DIGITALES |
description |
"Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which results from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an important problem in biomedical processing. In this work we propose a new method to indentify and characterize patient specific spike-and-wave EEG epileptic signals. The method is based on the use of trained neuronal networks on probability density function parameters of the translation and rescaling of the Student'st-distribution (location: µ,scale: σ and shape: ν) of pure spike-and-wave-signals. The neuronal network was trained with both normal and epileptic signals. The study resulted in 100% specificity and sensitivity on the studied signals." |
format |
Póster |
author |
Racca, Dora María Quintero-Rincón, Antonio Muro, Valeria D'Giano, Carlos |
author_facet |
Racca, Dora María Quintero-Rincón, Antonio Muro, Valeria D'Giano, Carlos |
author_sort |
Racca, Dora María |
title |
A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
title_short |
A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
title_full |
A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
title_fullStr |
A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
title_full_unstemmed |
A new algorithm for automatic identification of spike-wave EEG signals in epileptic patient-specific |
title_sort |
new algorithm for automatic identification of spike-wave eeg signals in epileptic patient-specific |
publishDate |
2019 |
url |
http://ri.itba.edu.ar/handle/123456789/1603 |
work_keys_str_mv |
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