A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.11/8147 |
Resumo: | Obstructive sleep apnea is a respiratory problem that has serious consequences for physical and mental health, but also in monetary terms, since traffic accidents and poor work performance, among other direct consequences, are attributed to it. It is estimated that between 9% and 38% of the world’s population has this disease. This is a multifactorial disease, therefore, there are several methods of detection and treatment; however, all of them cause discomfort to the patient, or to those around them. In this article we propose a system for the detection and control of obstructive sleep apnea that promises to overcome the drawbacks of the existing therapies, therefore, potentially making it a practical and effective solution for this disease. The proof of concept presented in this paper makes use of an electromyography sensor to collect the myoelectric signal produced by the genioglossus muscle. Surface electrodes provide the electromyography signals to an ESP32 microcontroller, which has the function of analyzing and comparing the data obtained with a predefined value of the apnea threshold. After the detection of an apnea, the circuit is able to create a stimulus signal that is applied directly to the muscle, so that airway occlusion does not occur, and the user does not wake up. The data from each use are automatically sent to a database to be viewed and analyzed at a later point. |
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A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apneaObstructive sleep apneaNon-invasive deviceGenioglossus muscleElectromyographysEMGElectrostimulationmHealthObstructive sleep apnea is a respiratory problem that has serious consequences for physical and mental health, but also in monetary terms, since traffic accidents and poor work performance, among other direct consequences, are attributed to it. It is estimated that between 9% and 38% of the world’s population has this disease. This is a multifactorial disease, therefore, there are several methods of detection and treatment; however, all of them cause discomfort to the patient, or to those around them. In this article we propose a system for the detection and control of obstructive sleep apnea that promises to overcome the drawbacks of the existing therapies, therefore, potentially making it a practical and effective solution for this disease. The proof of concept presented in this paper makes use of an electromyography sensor to collect the myoelectric signal produced by the genioglossus muscle. Surface electrodes provide the electromyography signals to an ESP32 microcontroller, which has the function of analyzing and comparing the data obtained with a predefined value of the apnea threshold. After the detection of an apnea, the circuit is able to create a stimulus signal that is applied directly to the muscle, so that airway occlusion does not occur, and the user does not wake up. The data from each use are automatically sent to a database to be viewed and analyzed at a later point.MDPIRepositório Científico do Instituto Politécnico de Castelo BrancoRebelo, JoséGaspar, Pedro DinisSoares, Vasco N.G J.Caldeira, João M.L.P.2022-10-20T13:31:24Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/8147engREBELO, J. [et al.] (2022) - A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea. Appl. Sci. 12: 10257.DOI https://doi.org/10.3390/app122010257.10.3390/app122010257info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T11:49:27Zoai:repositorio.ipcb.pt:10400.11/8147Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:38:34.139017Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
title |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
spellingShingle |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea Rebelo, José Obstructive sleep apnea Non-invasive device Genioglossus muscle Electromyography sEMG Electrostimulation mHealth |
title_short |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
title_full |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
title_fullStr |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
title_full_unstemmed |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
title_sort |
A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea |
author |
Rebelo, José |
author_facet |
Rebelo, José Gaspar, Pedro Dinis Soares, Vasco N.G J. Caldeira, João M.L.P. |
author_role |
author |
author2 |
Gaspar, Pedro Dinis Soares, Vasco N.G J. Caldeira, João M.L.P. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
dc.contributor.author.fl_str_mv |
Rebelo, José Gaspar, Pedro Dinis Soares, Vasco N.G J. Caldeira, João M.L.P. |
dc.subject.por.fl_str_mv |
Obstructive sleep apnea Non-invasive device Genioglossus muscle Electromyography sEMG Electrostimulation mHealth |
topic |
Obstructive sleep apnea Non-invasive device Genioglossus muscle Electromyography sEMG Electrostimulation mHealth |
description |
Obstructive sleep apnea is a respiratory problem that has serious consequences for physical and mental health, but also in monetary terms, since traffic accidents and poor work performance, among other direct consequences, are attributed to it. It is estimated that between 9% and 38% of the world’s population has this disease. This is a multifactorial disease, therefore, there are several methods of detection and treatment; however, all of them cause discomfort to the patient, or to those around them. In this article we propose a system for the detection and control of obstructive sleep apnea that promises to overcome the drawbacks of the existing therapies, therefore, potentially making it a practical and effective solution for this disease. The proof of concept presented in this paper makes use of an electromyography sensor to collect the myoelectric signal produced by the genioglossus muscle. Surface electrodes provide the electromyography signals to an ESP32 microcontroller, which has the function of analyzing and comparing the data obtained with a predefined value of the apnea threshold. After the detection of an apnea, the circuit is able to create a stimulus signal that is applied directly to the muscle, so that airway occlusion does not occur, and the user does not wake up. The data from each use are automatically sent to a database to be viewed and analyzed at a later point. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-20T13:31:24Z 2022 2022-01-01T00:00:00Z |
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/10400.11/8147 |
url |
http://hdl.handle.net/10400.11/8147 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
REBELO, J. [et al.] (2022) - A novel mHealth approach for the monitoring and assisted therapeutics of obstructive sleep apnea. Appl. Sci. 12: 10257.DOI https://doi.org/10.3390/app122010257. 10.3390/app122010257 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799130850573418496 |