A survey on sleep assessment methods
[EN] Purpose. A literature review is presented that aims to summarize and compare curren methods to evaluate sleep. Methods. Current sleep assessment methods have been classified according to different. criteria; e.g., objective (polysomnography actigraphy) vs.subjective (sleep questionnaires, diari...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/137997 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/137997 |
| Access Level: | acceso abierto |
| Palabra clave: | Sleep Sleep assessment Sleep disorders Sleep assessment methods LENGUAJES Y SISTEMAS INFORMATICOS |
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A survey on sleep assessment methodsIbáñez, VanessaCauli, OmarSilva, Josep|||0000-0001-5096-0008SleepSleep assessmentSleep disordersSleep assessment methodsLENGUAJES Y SISTEMAS INFORMATICOS[EN] Purpose. A literature review is presented that aims to summarize and compare curren methods to evaluate sleep. Methods. Current sleep assessment methods have been classified according to different. criteria; e.g., objective (polysomnography actigraphy) vs.subjective (sleep questionnaires, diaries...), contact vs. contactless devices, and need for medical assistance vs. self-assessment. A comparison of validation studies is carried out for each method, identifying their sensitivity and specificity reported in the literature. Finally, the state of the market has also been reviewed with respect to customers' opinions about current sleep apps. Results. A taxonomy that classifies the sleep, detection methods. IA deseriPtion of each method that includes the tendencies of their underlying technologies lanalyzed in accordance with the literature. A comparison in terms, of precision of existing validation studies and reports. Discussion. In order of accuracy, sleep detection methods may be arranged as follows: Questionnaire < Sleep diary < Contactless devices < Contact devices < Polysotnnography A literature review suggests that current subjective methods present a sensitivity between 73% and 97.7%, while their specificity ranges in the interval 50%-96%. Objective methods such as actigraphy present a sensibility higher than 90%. However, their specificity is low compared to their sensitivity, being one of the limitations of such technology. Moreover, there are other factors, such as the Patients Perception of her or his sleep, that can be provided only by subjective methods. Therefore, sleep detection methods should be combined to produce a synergy between objective and subjective methods. The review of the market indicates the most valued sleep apps, but it also identifies problems and gaps, e.g., many hardware devices have not been validated and (especially software apps) should be studied before their clinical use.PeerJDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaInstituto Universitario Valenciano de Investigación en Inteligencia ArtificialRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/137997reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1379972026-06-13T07:49:27Z |
| dc.title.none.fl_str_mv |
A survey on sleep assessment methods |
| title |
A survey on sleep assessment methods |
| spellingShingle |
A survey on sleep assessment methods Ibáñez, Vanessa Sleep Sleep assessment Sleep disorders Sleep assessment methods LENGUAJES Y SISTEMAS INFORMATICOS |
| title_short |
A survey on sleep assessment methods |
| title_full |
A survey on sleep assessment methods |
| title_fullStr |
A survey on sleep assessment methods |
| title_full_unstemmed |
A survey on sleep assessment methods |
| title_sort |
A survey on sleep assessment methods |
| dc.creator.none.fl_str_mv |
Ibáñez, Vanessa Cauli, Omar Silva, Josep|||0000-0001-5096-0008 |
| author |
Ibáñez, Vanessa |
| author_facet |
Ibáñez, Vanessa Cauli, Omar Silva, Josep|||0000-0001-5096-0008 |
| author_role |
author |
| author2 |
Cauli, Omar Silva, Josep|||0000-0001-5096-0008 |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Departamento de Sistemas Informáticos y Computación Escuela Técnica Superior de Ingeniería Informática Instituto Universitario Valenciano de Investigación en Inteligencia Artificial Repositorio Institucional de la Universitat Politècnica de València Riunet |
| dc.subject.none.fl_str_mv |
Sleep Sleep assessment Sleep disorders Sleep assessment methods LENGUAJES Y SISTEMAS INFORMATICOS |
| topic |
Sleep Sleep assessment Sleep disorders Sleep assessment methods LENGUAJES Y SISTEMAS INFORMATICOS |
| description |
[EN] Purpose. A literature review is presented that aims to summarize and compare curren methods to evaluate sleep. Methods. Current sleep assessment methods have been classified according to different. criteria; e.g., objective (polysomnography actigraphy) vs.subjective (sleep questionnaires, diaries...), contact vs. contactless devices, and need for medical assistance vs. self-assessment. A comparison of validation studies is carried out for each method, identifying their sensitivity and specificity reported in the literature. Finally, the state of the market has also been reviewed with respect to customers' opinions about current sleep apps. Results. A taxonomy that classifies the sleep, detection methods. IA deseriPtion of each method that includes the tendencies of their underlying technologies lanalyzed in accordance with the literature. A comparison in terms, of precision of existing validation studies and reports. Discussion. In order of accuracy, sleep detection methods may be arranged as follows: Questionnaire < Sleep diary < Contactless devices < Contact devices < Polysotnnography A literature review suggests that current subjective methods present a sensitivity between 73% and 97.7%, while their specificity ranges in the interval 50%-96%. Objective methods such as actigraphy present a sensibility higher than 90%. However, their specificity is low compared to their sensitivity, being one of the limitations of such technology. Moreover, there are other factors, such as the Patients Perception of her or his sleep, that can be provided only by subjective methods. Therefore, sleep detection methods should be combined to produce a synergy between objective and subjective methods. The review of the market indicates the most valued sleep apps, but it also identifies problems and gaps, e.g., many hardware devices have not been validated and (especially software apps) should be studied before their clinical use. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2018-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
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article |
| dc.identifier.none.fl_str_mv |
https://riunet.upv.es/handle/10251/137997 |
| url |
https://riunet.upv.es/handle/10251/137997 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Reconocimiento (by) http://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Reconocimiento (by) http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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PeerJ |
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PeerJ |
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reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname:Universitat Politècnica de València (UPV) |
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Universitat Politècnica de València (UPV) |
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
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