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First version of a support system for the medical diagnosis of pathologies in the larynx

2023Conference paper Restricted access
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dc.contributor.authorFernandes, Joana
dc.contributor.authorFreitas, Diamantino Silva
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2024-02-20T14:40:32Z
dc.date.available2024-02-20T14:40:32Z
dc.date.issued2023
dc.description.abstractVoice pathologies are widespread in society. However, the exams are invasive and uncomfortable for the patient, depending on the doctor’s experience doing the evaluation. Classifying and recognizing speech pathologies in a non-invasive way using acoustic analysis saves time for the patient and the specialist while allowing analyzes to be objective and efficient. This work presents a detailed description of an aid system for diagnosing speech pathologies associated with the larynx. The interface displays the parameters that physicians use most to classify subjects: absolute Jitter, relative Jitter, absolute Shimmer, relative Shimmer, Harmonic to Noise Ratio (HNR) and autocorrelation. The parameters used for the classification of the model are also presented (relative Jitter, absolute Jitter, RAP jitter, PPQ5 Jitter, absolute Shimmer, relative Shimmer, shimmer APQ3, shimmer APQ5, fundamental frequency, HNR, autocorrelation, Shannon entropy, entropy logarithmic and subject’s sex), as well as the description of the entire pre-processing of the data (treatment of Outliers using the quartile method, then data normalization and, finally, application of Principal Component Analysis (PCA) to reduce the dimension). The selected classification model is Wide Neural Network, with an accuracy of 98% and AUC of 0.99.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021) and 2021.04729.BD.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandes, Joana; Freitas, Diamantino Silva; Teixeira, João Paulo (2023). First version of a support system for the medical diagnosis of pathologies in the larynx. In 15th International Conference on Biomedical Engineering Systems and Technologies (BIOSTEC). ISSN 1865-0929. 1814, p. 1-15pt_PT
dc.identifier.doi10.1007/978-3-031-38854-5_1pt_PT
dc.identifier.issn1865-0929
dc.identifier.urihttp://hdl.handle.net/10198/29559
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationSistema de Apoio ao Diagnóstico de Patologias Vocais
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSpeech featurespt_PT
dc.subjectSystem for diagnosing speech pathologiespt_PT
dc.subjectVocal acoustic analysispt_PT
dc.subjectWide neural networkpt_PT
dc.titleFirst version of a support system for the medical diagnosis of pathologies in the larynxpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleSistema de Apoio ao Diagnóstico de Patologias Vocais
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/2021.04729.BD/PT
oaire.citation.endPage15pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title15th International Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)pt_PT
oaire.citation.volume1814pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameFernandes
person.familyNameTeixeira
person.givenNameJoana
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-idA41D-FF9D-929E
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0001-5962-2945
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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