Analysis of the sleep quality of elderly people using biomedical signals

dc.contributor.authorMoreno Alsasua, Leire
dc.contributor.authorGarcía-Zapirain, Begoña
dc.contributor.authorMéndez Zorrilla, Amaia
dc.date.accessioned2026-02-26T13:12:49Z
dc.date.available2026-02-26T13:12:49Z
dc.date.issued2015-02-01
dc.date.updated2026-02-26T13:12:49Z
dc.description.abstractThis paper presents a technical solution that analyses sleep signals captured by biomedical sensors to find possible disorders during rest. Specifically, the method evaluates electrooculogram (EOG) signals, skin conductance (GSR), air flow (AS), and body temperature. Next, a quantitative sleep quality analysis determines significant changes in the biological signals, and any similarities between them in a given time period. Filtering techniques such as the Fourier transform method and IIR filters process the signal and identify significant variations. Once these changes have been identified, all significant data is compared and a quantitative and statistical analysis is carried out to determine the level of a person's rest. To evaluate the correlation and significant differences, a statistical analysis has been calculated showing correlation between EOG and AS signals (p=0,005), EOG, and GSR signals (p=0,037) and, finally, the EOG and Body temperature (p=0,04). Doctors could use this information to monitor changes within a patient.en
dc.description.sponsorshipThis project has been partially funded under the grant IG-2014/01149 (h-SEAT project) and Basque Government Department of Universities and Researchen
dc.identifier.citationMoreno-Alsasua, Garcia-Zapirain, & Mendez-Zorrilla. (2015). Analysis of the sleep quality of elderly people using biomedical signals. Bio-Medical Materials and Engineering, 26, S1077-S1085. https://doi.org/10.3233/BME-151404
dc.identifier.doi10.3233/BME-151404
dc.identifier.eissn1878-3619
dc.identifier.issn0959-2989
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5261
dc.language.isoeng
dc.publisherIOS Press
dc.rights© 2015 – IOS Press and the authors
dc.subject.otherAS
dc.subject.otherBody temperature
dc.subject.otherEOG
dc.subject.otherGSR
dc.subject.otherProcessing
dc.subject.otherSleep quality
dc.titleAnalysis of the sleep quality of elderly people using biomedical signalsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPageS1085
oaire.citation.startPageS1077
oaire.citation.titleBio-Medical Materials and Engineering
oaire.citation.volume26
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc/4.0/
oaire.versionVoR
Archivos
Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
moreno_analysis_2015.pdf
Tamaño:
197.59 KB
Formato:
Adobe Portable Document Format
Colecciones