Acoustic and prosodic information for home monitoring of bipolar disorder

Epidemiological studies suggest that bipolar disorder has a prevalence of about 1% in European countries, becoming one of the most disabling illnesses in working age adults, and often long-term and persistent with complex management and treatment. Therefore, the capacity of home monitoring for patie...

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Authors: Farrús, Mireia, Codina Filbà, Joan, Escudero, Joan
Format: article
Status:Versión aceptada para publicación
Publication Date:2021
Country:España
Institution:Universitat Pompeu Fabra
Repository:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/46250
Online Access:http://hdl.handle.net/10230/46250
http://dx.doi.org/10.1177/1460458220972755
Access Level:Open access
Keyword:Bipolar disorder
Home monitoring app
Prosody
Speech
Voice
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spelling Acoustic and prosodic information for home monitoring of bipolar disorderFarrús, MireiaCodina Filbà, JoanEscudero, JoanBipolar disorderHome monitoring appProsodySpeechVoiceEpidemiological studies suggest that bipolar disorder has a prevalence of about 1% in European countries, becoming one of the most disabling illnesses in working age adults, and often long-term and persistent with complex management and treatment. Therefore, the capacity of home monitoring for patients with this disorder is crucial for their quality of life. The current paper introduces the use of speech-based information as an easy-to-record, ubiquitous and non-intrusive health sensor suitable for home monitoring, and its application in the framework on the NYMPHA-MD project. Some preliminary results also show the potential of acoustic and prosodic features to detect and classify bipolar disorder, by predicting the values of the Hamilton Depression Rating Scale (HDRS) and the Young Mania Rating Scale (YMRS) from speech.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is part of the NYMPHA-MD project, which has been funded by the European Union under Grant Agreement No. 610462. The first author has been funded by the Agencia Estatal de Investigación (AEI), Ministerio de Ciencia, Innovación y Universidades and the Fondo Social Europeo (FSE) under grant RYC-2015-17239 (AEI/FSE, UE).SAGE Publications202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/46250http://dx.doi.org/10.1177/1460458220972755reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésHealth Informatics Journal. 2021 Jan 13;27(1)info:eu-repo/grantAgreement/EC/FP7/610462info:eu-repo/grantAgreement/ES/1PE/RYC-2015-17239This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).https://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/462502026-06-12T07:21:37Z
dc.title.none.fl_str_mv Acoustic and prosodic information for home monitoring of bipolar disorder
title Acoustic and prosodic information for home monitoring of bipolar disorder
spellingShingle Acoustic and prosodic information for home monitoring of bipolar disorder
Farrús, Mireia
Bipolar disorder
Home monitoring app
Prosody
Speech
Voice
title_short Acoustic and prosodic information for home monitoring of bipolar disorder
title_full Acoustic and prosodic information for home monitoring of bipolar disorder
title_fullStr Acoustic and prosodic information for home monitoring of bipolar disorder
title_full_unstemmed Acoustic and prosodic information for home monitoring of bipolar disorder
title_sort Acoustic and prosodic information for home monitoring of bipolar disorder
dc.creator.none.fl_str_mv Farrús, Mireia
Codina Filbà, Joan
Escudero, Joan
author Farrús, Mireia
author_facet Farrús, Mireia
Codina Filbà, Joan
Escudero, Joan
author_role author
author2 Codina Filbà, Joan
Escudero, Joan
author2_role author
author
dc.subject.none.fl_str_mv Bipolar disorder
Home monitoring app
Prosody
Speech
Voice
topic Bipolar disorder
Home monitoring app
Prosody
Speech
Voice
description Epidemiological studies suggest that bipolar disorder has a prevalence of about 1% in European countries, becoming one of the most disabling illnesses in working age adults, and often long-term and persistent with complex management and treatment. Therefore, the capacity of home monitoring for patients with this disorder is crucial for their quality of life. The current paper introduces the use of speech-based information as an easy-to-record, ubiquitous and non-intrusive health sensor suitable for home monitoring, and its application in the framework on the NYMPHA-MD project. Some preliminary results also show the potential of acoustic and prosodic features to detect and classify bipolar disorder, by predicting the values of the Hamilton Depression Rating Scale (HDRS) and the Young Mania Rating Scale (YMRS) from speech.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/46250
http://dx.doi.org/10.1177/1460458220972755
url http://hdl.handle.net/10230/46250
http://dx.doi.org/10.1177/1460458220972755
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Health Informatics Journal. 2021 Jan 13;27(1)
info:eu-repo/grantAgreement/EC/FP7/610462
info:eu-repo/grantAgreement/ES/1PE/RYC-2015-17239
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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