Analysis of the sleep quality of elderly people using biomedical signals
| dc.contributor.author | Moreno Alsasua, Leire | |
| dc.contributor.author | García-Zapirain, Begoña | |
| dc.contributor.author | Méndez Zorrilla, Amaia | |
| dc.date.accessioned | 2026-02-26T13:12:49Z | |
| dc.date.available | 2026-02-26T13:12:49Z | |
| dc.date.issued | 2015-02-01 | |
| dc.date.updated | 2026-02-26T13:12:49Z | |
| dc.description.abstract | This 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.sponsorship | This project has been partially funded under the grant IG-2014/01149 (h-SEAT project) and Basque Government Department of Universities and Research | en |
| dc.identifier.citation | Moreno-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.doi | 10.3233/BME-151404 | |
| dc.identifier.eissn | 1878-3619 | |
| dc.identifier.issn | 0959-2989 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14454/5261 | |
| dc.language.iso | eng | |
| dc.publisher | IOS Press | |
| dc.rights | © 2015 – IOS Press and the authors | |
| dc.subject.other | AS | |
| dc.subject.other | Body temperature | |
| dc.subject.other | EOG | |
| dc.subject.other | GSR | |
| dc.subject.other | Processing | |
| dc.subject.other | Sleep quality | |
| dc.title | Analysis of the sleep quality of elderly people using biomedical signals | en |
| dc.type | journal article | |
| dcterms.accessRights | open access | |
| oaire.citation.endPage | S1085 | |
| oaire.citation.startPage | S1077 | |
| oaire.citation.title | Bio-Medical Materials and Engineering | |
| oaire.citation.volume | 26 | |
| oaire.licenseCondition | https://creativecommons.org/licenses/by-nc/4.0/ | |
| oaire.version | VoR |
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