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Acoustic and Clinical Data Analysis of Vocal Recordings

Bibliographic Details
Main Author: Carreiro-Martins, Pedro
Publication Date: 2024
Other Authors: Paixão, Paulo, Caires, Iolanda, Matias, Pedro, Gamboa, Hugo, Soares, Filipe, Gomez, Pedro, Sousa, Joana, Neuparth, Nuno
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/175174
Summary: Funding Information: The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through CHRC (UIDP/04923/2020). The project \u201COSCAR\u2014vOice Screening of CoronA viRus\u201D (POCI-01-02B7-FEDER-051277) leading to this work is co-financed by ERDF-European Regional Fund through the Operational Program for Competitiveness and Internationalization, and by LISBOA 2020\u2014Regional Operational Program for Lisbon and Vale do Tejo. Publisher Copyright: © 2024 by the authors.
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spelling Acoustic and Clinical Data Analysis of Vocal RecordingsPandemic Insights and Lessonsdiagnostic testsmachine learningSARS-CoV-2speechvoiceClinical BiochemistryFunding Information: The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through CHRC (UIDP/04923/2020). The project \u201COSCAR\u2014vOice Screening of CoronA viRus\u201D (POCI-01-02B7-FEDER-051277) leading to this work is co-financed by ERDF-European Regional Fund through the Operational Program for Competitiveness and Internationalization, and by LISBOA 2020\u2014Regional Operational Program for Lisbon and Vale do Tejo. Publisher Copyright: © 2024 by the authors.Background/Objectives: The interest in processing human speech and other human-generated audio signals as a diagnostic tool has increased due to the COVID-19 pandemic. The project OSCAR (vOice Screening of CoronA viRus) aimed to develop an algorithm to screen for COVID-19 using a dataset of Portuguese participants with voice recordings and clinical data. Methods: This cross-sectional study aimed to characterise the pattern of sounds produced by the vocal apparatus in patients with SARS-CoV-2 infection documented by a positive RT-PCR test, and to develop and validate a screening algorithm. In Phase II, the algorithm developed in Phase I was tested in a real-world setting. Results: In Phase I, after filtering, the training group consisted of 166 subjects who were effectively available to train the classification model (34.3% SARS-CoV-2 positive/65.7% SARS-CoV-2 negative). Phase II enrolled 58 participants (69.0% SARS-CoV-2 positive/31.0% SARS-CoV-2 negative). The final model achieved a sensitivity of 85%, a specificity of 88.9%, and an F1-score of 84.7%, suggesting voice screening algorithms as an attractive strategy for COVID-19 diagnosis. Conclusions: Our findings highlight the potential of a voice-based detection strategy as an alternative method for respiratory tract screening.Comprehensive Health Research Centre (CHRC) - pólo NMSNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Laboratório Associado de Translacção e Inovação para a Saúde Global - LA Real (Pólo NMS)Faculdade de Ciências e Tecnologia (FCT)RUNCarreiro-Martins, PedroPaixão, PauloCaires, IolandaMatias, PedroGamboa, HugoSoares, FilipeGomez, PedroSousa, JoanaNeuparth, Nuno2024-11-13T23:47:08Z2024-102024-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/175174eng2075-4418PURE: 102420991https://doi.org/10.3390/diagnostics14202273info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-10T01:36:53Zoai:run.unl.pt:10362/175174Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:14:11.286865Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Acoustic and Clinical Data Analysis of Vocal Recordings
Pandemic Insights and Lessons
title Acoustic and Clinical Data Analysis of Vocal Recordings
spellingShingle Acoustic and Clinical Data Analysis of Vocal Recordings
Carreiro-Martins, Pedro
diagnostic tests
machine learning
SARS-CoV-2
speech
voice
Clinical Biochemistry
title_short Acoustic and Clinical Data Analysis of Vocal Recordings
title_full Acoustic and Clinical Data Analysis of Vocal Recordings
title_fullStr Acoustic and Clinical Data Analysis of Vocal Recordings
title_full_unstemmed Acoustic and Clinical Data Analysis of Vocal Recordings
title_sort Acoustic and Clinical Data Analysis of Vocal Recordings
author Carreiro-Martins, Pedro
author_facet Carreiro-Martins, Pedro
Paixão, Paulo
Caires, Iolanda
Matias, Pedro
Gamboa, Hugo
Soares, Filipe
Gomez, Pedro
Sousa, Joana
Neuparth, Nuno
author_role author
author2 Paixão, Paulo
Caires, Iolanda
Matias, Pedro
Gamboa, Hugo
Soares, Filipe
Gomez, Pedro
Sousa, Joana
Neuparth, Nuno
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Comprehensive Health Research Centre (CHRC) - pólo NMS
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Laboratório Associado de Translacção e Inovação para a Saúde Global - LA Real (Pólo NMS)
Faculdade de Ciências e Tecnologia (FCT)
RUN
dc.contributor.author.fl_str_mv Carreiro-Martins, Pedro
Paixão, Paulo
Caires, Iolanda
Matias, Pedro
Gamboa, Hugo
Soares, Filipe
Gomez, Pedro
Sousa, Joana
Neuparth, Nuno
dc.subject.por.fl_str_mv diagnostic tests
machine learning
SARS-CoV-2
speech
voice
Clinical Biochemistry
topic diagnostic tests
machine learning
SARS-CoV-2
speech
voice
Clinical Biochemistry
description Funding Information: The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through CHRC (UIDP/04923/2020). The project \u201COSCAR\u2014vOice Screening of CoronA viRus\u201D (POCI-01-02B7-FEDER-051277) leading to this work is co-financed by ERDF-European Regional Fund through the Operational Program for Competitiveness and Internationalization, and by LISBOA 2020\u2014Regional Operational Program for Lisbon and Vale do Tejo. Publisher Copyright: © 2024 by the authors.
publishDate 2024
dc.date.none.fl_str_mv 2024-11-13T23:47:08Z
2024-10
2024-10-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/175174
url http://hdl.handle.net/10362/175174
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2075-4418
PURE: 102420991
https://doi.org/10.3390/diagnostics14202273
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.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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