KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research on Biomedical Engineering (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402018000300217 |
Resumo: | Abstract Introduction This research investigates the applicability of a relatively new estimator of mutual information, KSG estimator, to find the reconstruction delay of phase space in dynamical systems. There are evidences that the KSG estimator is more accurate than the naive method commonly used. Methods In this paper we estimated mutual information between the voice signals and their delayed versions, with KSG method. The voice signals were obtained from a disordered voice database. Then, we found the reconstruction delay where mutual information reached its first minimum. We applied the encountered value of reconstruction delay in linear discriminant analysis, in order to discriminate between healthy and pathological voices or to discriminate between pathologies. Discrimination between voice pathologies using nonlinear measurements is still not much explored. Moreover, in this paper we used a single nonlinear measurement: reconstruction delay. Results The results show that the reconstruction delay obtained with KSG method has increased classification rates in most cases, in terms of accuracy, sensitivity and specificity, when compared to the naive estimator usually adopted. Conclusion The KSG estimator is a promising technique to improve the diagnosis of voice related pathologies. |
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Research on Biomedical Engineering (Online) |
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KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysisKSG estimatorReconstruction delayVocal disorders Abstract Introduction This research investigates the applicability of a relatively new estimator of mutual information, KSG estimator, to find the reconstruction delay of phase space in dynamical systems. There are evidences that the KSG estimator is more accurate than the naive method commonly used. Methods In this paper we estimated mutual information between the voice signals and their delayed versions, with KSG method. The voice signals were obtained from a disordered voice database. Then, we found the reconstruction delay where mutual information reached its first minimum. We applied the encountered value of reconstruction delay in linear discriminant analysis, in order to discriminate between healthy and pathological voices or to discriminate between pathologies. Discrimination between voice pathologies using nonlinear measurements is still not much explored. Moreover, in this paper we used a single nonlinear measurement: reconstruction delay. Results The results show that the reconstruction delay obtained with KSG method has increased classification rates in most cases, in terms of accuracy, sensitivity and specificity, when compared to the naive estimator usually adopted. Conclusion The KSG estimator is a promising technique to improve the diagnosis of voice related pathologies.Sociedade Brasileira de Engenharia Biomédica2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402018000300217Research on Biomedical Engineering v.34 n.3 2018reponame:Research on Biomedical Engineering (Online)instname:Sociedade Brasileira de Engenharia Biomédica (SBEB)instacron:SBEB10.1590/2446-4740.001018info:eu-repo/semantics/openAccessSantos,Mikaelle OliveiraAssis,Juliana Martins deVieira,Vinícius Jefferson DiasAssis,Francisco Marcos deeng2018-10-30T00:00:00Zoai:scielo:S2446-47402018000300217Revistahttp://www.rbejournal.org/https://old.scielo.br/oai/scielo-oai.php||rbe@rbejournal.org2446-47402446-4732opendoar:2018-10-30T00:00Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB)false |
dc.title.none.fl_str_mv |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
title |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
spellingShingle |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis Santos,Mikaelle Oliveira KSG estimator Reconstruction delay Vocal disorders |
title_short |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
title_full |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
title_fullStr |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
title_full_unstemmed |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
title_sort |
KSG estimation of reconstruction delay to detect vocal disorders in nonlinear dynamical analysis |
author |
Santos,Mikaelle Oliveira |
author_facet |
Santos,Mikaelle Oliveira Assis,Juliana Martins de Vieira,Vinícius Jefferson Dias Assis,Francisco Marcos de |
author_role |
author |
author2 |
Assis,Juliana Martins de Vieira,Vinícius Jefferson Dias Assis,Francisco Marcos de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos,Mikaelle Oliveira Assis,Juliana Martins de Vieira,Vinícius Jefferson Dias Assis,Francisco Marcos de |
dc.subject.por.fl_str_mv |
KSG estimator Reconstruction delay Vocal disorders |
topic |
KSG estimator Reconstruction delay Vocal disorders |
description |
Abstract Introduction This research investigates the applicability of a relatively new estimator of mutual information, KSG estimator, to find the reconstruction delay of phase space in dynamical systems. There are evidences that the KSG estimator is more accurate than the naive method commonly used. Methods In this paper we estimated mutual information between the voice signals and their delayed versions, with KSG method. The voice signals were obtained from a disordered voice database. Then, we found the reconstruction delay where mutual information reached its first minimum. We applied the encountered value of reconstruction delay in linear discriminant analysis, in order to discriminate between healthy and pathological voices or to discriminate between pathologies. Discrimination between voice pathologies using nonlinear measurements is still not much explored. Moreover, in this paper we used a single nonlinear measurement: reconstruction delay. Results The results show that the reconstruction delay obtained with KSG method has increased classification rates in most cases, in terms of accuracy, sensitivity and specificity, when compared to the naive estimator usually adopted. Conclusion The KSG estimator is a promising technique to improve the diagnosis of voice related pathologies. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402018000300217 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2446-47402018000300217 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2446-4740.001018 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
publisher.none.fl_str_mv |
Sociedade Brasileira de Engenharia Biomédica |
dc.source.none.fl_str_mv |
Research on Biomedical Engineering v.34 n.3 2018 reponame:Research on Biomedical Engineering (Online) instname:Sociedade Brasileira de Engenharia Biomédica (SBEB) instacron:SBEB |
instname_str |
Sociedade Brasileira de Engenharia Biomédica (SBEB) |
instacron_str |
SBEB |
institution |
SBEB |
reponame_str |
Research on Biomedical Engineering (Online) |
collection |
Research on Biomedical Engineering (Online) |
repository.name.fl_str_mv |
Research on Biomedical Engineering (Online) - Sociedade Brasileira de Engenharia Biomédica (SBEB) |
repository.mail.fl_str_mv |
||rbe@rbejournal.org |
_version_ |
1752126288990044160 |