Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive upper airway obstruction, intermittent hypoxemia, and recurrent awakenings during sleep. The most used treatment for this syndrome is a device that generates a positive airway pressure—Continuous Positive Airway Pre...

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Autores: Moscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6, Urrestarazu-Bolumburu, E. (Elena)|||/items/be7fd807-8726-4879-9e1e-3cf201af34f2, Horrillo-Maysonnial, A. (Alejandro)|||/items/8f4edbe6-8748-4eae-b480-886a58d70607, Urrea, L.F. (Luis Fernando)|||/items/c08fb5f8-666e-485d-9193-bbedaf3f591d, Agudelo-Otalora, L. M. (Luis Mauricio)|||/items/46eae504-561a-4aa2-9355-824f00688726, Giraldo-Cadavid, L. F. (Luis F.)|||/items/02016307-f820-46ae-8da6-0938cf04d1a0, Fernández-González, S. (Secundino)|||/items/b07f3bbd-8cdb-46da-9561-60be26f16ccb, Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721, Alegre-Esteban, M. (Manuel)|||/items/37771b48-4024-4472-9a17-cb6e2ac13579
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/116507
Acesso em linha:https://hdl.handle.net/10171/116507
Access Level:acceso abierto
Palavra-chave:Apnea
Detection of apneas
Electrical stimulation
Hypopnea
Obstructive sleep apnea
Polysomnography
Signal processing
Sleep signal processing system
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spelling Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneasMoscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6Urrestarazu-Bolumburu, E. (Elena)|||/items/be7fd807-8726-4879-9e1e-3cf201af34f2Horrillo-Maysonnial, A. (Alejandro)|||/items/8f4edbe6-8748-4eae-b480-886a58d70607Urrea, L.F. (Luis Fernando)|||/items/c08fb5f8-666e-485d-9193-bbedaf3f591dAgudelo-Otalora, L. M. (Luis Mauricio)|||/items/46eae504-561a-4aa2-9355-824f00688726Giraldo-Cadavid, L. F. (Luis F.)|||/items/02016307-f820-46ae-8da6-0938cf04d1a0Fernández-González, S. (Secundino)|||/items/b07f3bbd-8cdb-46da-9561-60be26f16ccbBurguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721Alegre-Esteban, M. (Manuel)|||/items/37771b48-4024-4472-9a17-cb6e2ac13579ApneaDetection of apneasElectrical stimulationHypopneaObstructive sleep apneaPolysomnographySignal processingSleep signal processing systemObstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive upper airway obstruction, intermittent hypoxemia, and recurrent awakenings during sleep. The most used treatment for this syndrome is a device that generates a positive airway pressure—Continuous Positive Airway Pressure (CPAP), but it works continuously, whether or not there is apnea. An alternative consists on systems that detect apnea episodes and produce a stimulus that eliminates them. Article focuses on the development of a simple and autonomous processing system for the detection of obstructive sleep apneas, using polysomnography (PSG) signals: electroencephalography (EEG), electromyography (EMG), respiratory effort (RE), respiratory flow (RF), and oxygen saturation (SO2). The system is evaluated using, as a gold standard, 20 PSG tests labeled by sleep experts and it performs two analyses. A first analysis detects awake/sleep stages and is based on the accumulated amplitude in a channel-dependent frequency range, according to the criteria of the American Academy of Sleep Medicine (AASM). The second analysis detects hypopneas and apneas, based on analysis of the breathing cycle and oxygen saturation. The results show a good estimation of sleep events, where for 75% of the cases of patients analyzed it is possible to determine the awake/asleep states with an effectiveness of >92% and apneas and hypopneas with an effectiveness of >55%, through a simple processing system that could be implemented in an electronic device to be used in possible OSA treatments.MDPIDadun. Depósito Académico Digital Universidad de Navarra20222022-01-0120222022-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/116507reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/1165072026-06-21T12:47:57Z
dc.title.none.fl_str_mv Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
title Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
spellingShingle Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
Moscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6
Apnea
Detection of apneas
Electrical stimulation
Hypopnea
Obstructive sleep apnea
Polysomnography
Signal processing
Sleep signal processing system
title_short Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
title_full Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
title_fullStr Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
title_full_unstemmed Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
title_sort Simple and autonomous sleep signal processing system for the detection of obstructive sleep apneas
dc.creator.none.fl_str_mv Moscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6
Urrestarazu-Bolumburu, E. (Elena)|||/items/be7fd807-8726-4879-9e1e-3cf201af34f2
Horrillo-Maysonnial, A. (Alejandro)|||/items/8f4edbe6-8748-4eae-b480-886a58d70607
Urrea, L.F. (Luis Fernando)|||/items/c08fb5f8-666e-485d-9193-bbedaf3f591d
Agudelo-Otalora, L. M. (Luis Mauricio)|||/items/46eae504-561a-4aa2-9355-824f00688726
Giraldo-Cadavid, L. F. (Luis F.)|||/items/02016307-f820-46ae-8da6-0938cf04d1a0
Fernández-González, S. (Secundino)|||/items/b07f3bbd-8cdb-46da-9561-60be26f16ccb
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
Alegre-Esteban, M. (Manuel)|||/items/37771b48-4024-4472-9a17-cb6e2ac13579
author Moscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6
author_facet Moscoso, W. D. (William Daniel)|||/items/df63d12e-10d4-460a-8316-9a314296aba6
Urrestarazu-Bolumburu, E. (Elena)|||/items/be7fd807-8726-4879-9e1e-3cf201af34f2
Horrillo-Maysonnial, A. (Alejandro)|||/items/8f4edbe6-8748-4eae-b480-886a58d70607
Urrea, L.F. (Luis Fernando)|||/items/c08fb5f8-666e-485d-9193-bbedaf3f591d
Agudelo-Otalora, L. M. (Luis Mauricio)|||/items/46eae504-561a-4aa2-9355-824f00688726
Giraldo-Cadavid, L. F. (Luis F.)|||/items/02016307-f820-46ae-8da6-0938cf04d1a0
Fernández-González, S. (Secundino)|||/items/b07f3bbd-8cdb-46da-9561-60be26f16ccb
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
Alegre-Esteban, M. (Manuel)|||/items/37771b48-4024-4472-9a17-cb6e2ac13579
author_role author
author2 Urrestarazu-Bolumburu, E. (Elena)|||/items/be7fd807-8726-4879-9e1e-3cf201af34f2
Horrillo-Maysonnial, A. (Alejandro)|||/items/8f4edbe6-8748-4eae-b480-886a58d70607
Urrea, L.F. (Luis Fernando)|||/items/c08fb5f8-666e-485d-9193-bbedaf3f591d
Agudelo-Otalora, L. M. (Luis Mauricio)|||/items/46eae504-561a-4aa2-9355-824f00688726
Giraldo-Cadavid, L. F. (Luis F.)|||/items/02016307-f820-46ae-8da6-0938cf04d1a0
Fernández-González, S. (Secundino)|||/items/b07f3bbd-8cdb-46da-9561-60be26f16ccb
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
Alegre-Esteban, M. (Manuel)|||/items/37771b48-4024-4472-9a17-cb6e2ac13579
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Apnea
Detection of apneas
Electrical stimulation
Hypopnea
Obstructive sleep apnea
Polysomnography
Signal processing
Sleep signal processing system
topic Apnea
Detection of apneas
Electrical stimulation
Hypopnea
Obstructive sleep apnea
Polysomnography
Signal processing
Sleep signal processing system
description Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive upper airway obstruction, intermittent hypoxemia, and recurrent awakenings during sleep. The most used treatment for this syndrome is a device that generates a positive airway pressure—Continuous Positive Airway Pressure (CPAP), but it works continuously, whether or not there is apnea. An alternative consists on systems that detect apnea episodes and produce a stimulus that eliminates them. Article focuses on the development of a simple and autonomous processing system for the detection of obstructive sleep apneas, using polysomnography (PSG) signals: electroencephalography (EEG), electromyography (EMG), respiratory effort (RE), respiratory flow (RF), and oxygen saturation (SO2). The system is evaluated using, as a gold standard, 20 PSG tests labeled by sleep experts and it performs two analyses. A first analysis detects awake/sleep stages and is based on the accumulated amplitude in a channel-dependent frequency range, according to the criteria of the American Academy of Sleep Medicine (AASM). The second analysis detects hypopneas and apneas, based on analysis of the breathing cycle and oxygen saturation. The results show a good estimation of sleep events, where for 75% of the cases of patients analyzed it is possible to determine the awake/asleep states with an effectiveness of >92% and apneas and hypopneas with an effectiveness of >55%, through a simple processing system that could be implemented in an electronic device to be used in possible OSA treatments.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/116507
url https://hdl.handle.net/10171/116507
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
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