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Algorithm for turning detection and analysis validated under home-like conditions in patients with Parkinson’s disease and older adults using a 6 degree-of-freedom inertial measurement unit at the lower back

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dc.contributor.authorPham, Minh H.
dc.contributor.authorElshehabi, Morad
dc.contributor.authorHaertner, Linda
dc.contributor.authorHeger, Tanja
dc.contributor.authorHobert, Markus A.
dc.contributor.authorFaber, Gert S.
dc.contributor.authorSalkovic, Dina
dc.contributor.authorFerreira, Joaquim J
dc.contributor.authorBerg, Daniela
dc.contributor.authorSanchez-Ferro, Álvaro
dc.contributor.authorvan Dieën, Jaap H.
dc.contributor.authorMaetzler, Walter
dc.date.accessioned2022-04-19T15:14:31Z
dc.date.available2022-04-19T15:14:31Z
dc.date.issued2017
dc.descriptionCopyright: © 2017 Pham, Elshehabi, Haertner, Heger, Hobert, Faber, Salkovic, Ferreira, Berg, Sanchez-Ferro, van Dieën and Maetzler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.pt_PT
dc.description.abstractIntroduction: Aging and age-associated disorders such as Parkinson's disease (PD) are often associated with turning difficulties, which can lead to falls and fractures. Valid assessment of turning and turning deficits specifically in non-standardized environments may foster specific treatment and prevention of consequences. Methods: Relative orientation, obtained from 3D-accelerometer and 3D-gyroscope data of a sensor worn at the lower back, was used to develop an algorithm for turning detection and qualitative analysis in PD patients and controls in non-standardized environments. The algorithm was validated with a total of 2,304 turns ≥90° extracted from an independent dataset of 20 PD patients during medication ON- and OFF-conditions and 13 older adults. Video observation by two independent clinical observers served as gold standard. Results: In PD patients under medication OFF, the algorithm detected turns with a sensitivity of 0.92, a specificity of 0.89, and an accuracy of 0.92. During medication ON, values were 0.92, 0.78, and 0.83. In older adults, the algorithm reached validation values of 0.94, 0.89, and 0.92. Turning magnitude (difference, 0.06°; SEM, 0.14°) and duration (difference, 0.004 s; SEM, 0.005 s) yielded high correlation values with gold standard. Overall accuracy for direction of turning was 0.995. Intra class correlation of the clinical observers was 0.92. Conclusion: This wearable sensor- and relative orientation-based algorithm yields very high agreement with clinical observation for the detection and evaluation of ≥90° turns under non-standardized conditions in PD patients and older adults. It can be suggested for the assessment of turning in daily life.pt_PT
dc.description.sponsorshipThe study was supported by the EU project SENSE-PARK, funded under the Seventh Framework Programme, Cooperation-ICT, #288557 and by Lundbeck.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFront Neurol. 2017 Apr 10;8:135pt_PT
dc.identifier.doi10.3389/fneur.2017.00135pt_PT
dc.identifier.eissn1664-2295
dc.identifier.urihttp://hdl.handle.net/10451/52436
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontierspt_PT
dc.relationSENSE-PARK: Supporting and Empowering Parkinson patients in their home environment using a Novel SEnsory information system that monitors daily-life-relevant parameters of PARKinson disease and their
dc.relation.publisherversionhttps://www.frontiersin.org/journals/neurology#pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectParkinson’s diseasept_PT
dc.subjectAccelerometerpt_PT
dc.subjectDaily activitiespt_PT
dc.subjectGyroscopept_PT
dc.subjectOlder adultspt_PT
dc.subjectSix degrees of freedompt_PT
dc.subjectTurningpt_PT
dc.titleAlgorithm for turning detection and analysis validated under home-like conditions in patients with Parkinson’s disease and older adults using a 6 degree-of-freedom inertial measurement unit at the lower backpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumber288557
oaire.awardTitleSENSE-PARK: Supporting and Empowering Parkinson patients in their home environment using a Novel SEnsory information system that monitors daily-life-relevant parameters of PARKinson disease and their
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/288557/EU
oaire.citation.titleFrontiers in Neurologypt_PT
oaire.citation.volume8pt_PT
oaire.fundingStreamFP7
person.familyNameFerreira
person.givenNameJoaquim J
person.identifier1624753
person.identifier.ciencia-id7D15-5CD6-6159
person.identifier.orcid0000-0003-3950-5113
person.identifier.scopus-author-id7403252466
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication54d84fe7-2cbd-4ddc-bce2-0ff2bd7c4cc9
relation.isAuthorOfPublication.latestForDiscovery54d84fe7-2cbd-4ddc-bce2-0ff2bd7c4cc9
relation.isProjectOfPublication8e18ccf0-0b6e-4167-b298-9509c9fa2358
relation.isProjectOfPublication.latestForDiscovery8e18ccf0-0b6e-4167-b298-9509c9fa2358

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