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dc.contributor.authorChen, Yongrui
dc.contributor.authorZheng, Yurui
dc.contributor.authorJohnson, Sam
dc.contributor.authorWiffen, Richard
dc.contributor.authorYang, Bin
dc.date.accessioned2023-12-04T12:13:41Z
dc.date.available2023-12-04T12:13:41Z
dc.date.issued2023-12-05
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/628323/s11517-023-02979-9.pdf?sequence=7
dc.identifier.citationChen, Y., Zheng, Y., Johnson, S. Wiffen, R., & Yang, B. (2024). A comparative study of accuracy in major adaptive filters for motion artefact removal in sleep apnea tests. Medical & Biological Engineering & Computing, 62, 829-842. https://doi.org/10.1007/s11517-023-02979-9en_US
dc.identifier.issn0140-0118en_US
dc.identifier.doi10.1007/s11517-023-02979-9
dc.identifier.urihttp://hdl.handle.net/10034/628323
dc.descriptionThe version of record of this article, first published in [Medical & Biological Engineering & Computing], is available online at Publisher’s website: http://dx.doi.org/10.1007/s11517-023-02979-9en_US
dc.description.abstractSleep apnoea is probably the most common respiratory disorder, respiration and blood oxygen saturation (SpO2) are major concerns in sleep apnoea and are also the two main parameters checked by Polysomnography (PSG, the gold standard for diagnosing sleep apnoea). In this study, we used a simple, non-invasive monitoring system based on photoplethysmography (PPG) to continuously monitor SpO2 and heart rate (HR) for individuals at home. Various breathing experiments were conducted to investigate the relationship between SpO2, HR, and apnoea under different conditions, where two techniques (empirical formula and customized formula) for calculating SpO2 and two methods (resting HR and instantaneous HR) for assessing HR were compared. Various adaptive filters were implemented to compare the effectiveness in removing motion artefacts (MA) during the tests. This study fills the gap in the literature by comparing the performance of different adaptive filters on estimating SpO2 and HR during apnoea. The results showed that up-down finger motion introduced more MA than left-right motion, and the errors in SpO2 estimation were increased as the frequency of movement was increased; due to the low sampling frequency features of these tests, the insertion of adaptive filter increased the noise in the data instead of eliminating the MA for SpO2 estimation; the normal least mean squares (NLMS) filter is more effective in removing MA in HR estimation than other filters.en_US
dc.publisherSpringeren_US
dc.relation.urlhttps://link.springer.com/article/10.1007/s11517-023-02979-9en_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSleep Apnoeaen_US
dc.subjectMotion Artefacten_US
dc.subjectAdaptive Filteren_US
dc.subjectSpO2en_US
dc.subjectHeart Rateen_US
dc.titleA Comparative Study of Accuracy in Major Adaptive Filters for Motion Artefact Removal in Sleep Apnea Testsen_US
dc.typeArticleen_US
dc.identifier.eissn1741-0444en_US
dc.contributor.departmentUniversity of Chester; Passion for Life Healthcareen_US
dc.identifier.journalMedical & Biological Engineering & Computingen_US
or.grant.openaccessYesen_US
rioxxterms.funderNoen_US
rioxxterms.identifier.projectNoen_US
rioxxterms.versionVoRen_US
rioxxterms.versionofrecord10.1007/s11517-023-02979-9en_US
rioxxterms.licenseref.startdate2024-12-31
dcterms.dateAccepted2023-11-22
rioxxterms.publicationdate2023-12-31
dc.date.deposited2023-12-04en_US


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal