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A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s disease

2016Journal article Open access
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dc.contributor.authorGodinho, Catarina
dc.contributor.authorDomingos, Josefa
dc.contributor.authorCunha, Guilherme
dc.contributor.authorSantos, Ana T.
dc.contributor.authorFernandes, Ricardo
dc.contributor.authorAbreu, Daisy
dc.contributor.authorGonçalves, Nilza
dc.contributor.authorMatthews, Helen
dc.contributor.authorIsaacs, Tom
dc.contributor.authorDuffen, Joy
dc.contributor.authorAl-Jawad, Ahmed
dc.contributor.authorLarsen, Frank
dc.contributor.authorSerrano, Artur
dc.contributor.authorWeber, Peter
dc.contributor.authorThoms, Andrea
dc.contributor.authorSollinger, Stefan
dc.contributor.authorGraessner, Holm
dc.contributor.authorMaetzler, Walter
dc.contributor.authorFerreira, Joaquim J.
dc.date.accessioned2016-04-04T14:53:33Z
dc.date.available2016-04-04T14:53:33Z
dc.date.issued2016
dc.descriptionThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.pt_PT
dc.description.abstract"Background: There is growing interest in having objective assessment of health-related outcomes using technology-based devices that provide unbiased measurements which can be used in clinical practice and scientific research. Many studies have investigated the clinical manifestations of Parkinson’s disease using such devices. However, clinimetric properties and clinical validation vary among the different devices. Methods: Given such heterogeneity, we sought to perform a systematic review in order to (i) list, (ii) compare and (iii) classify technological-based devices used to measure motor function in individuals with Parkinson's disease into three groups, namely wearable, non-wearable and hybrid devices. A systematic literature search of the PubMed database resulted in the inclusion of 168 studies. These studies were grouped based on the type of device used. For each device we reviewed availability, use, reliability, validity, and sensitivity to change. The devices were then classified as (i) ‘recommended’, (ii) ‘suggested’ or (iii) ‘listed’ based on the following criteria: (1) used in the assessment of Parkinson’s disease (yes/no), (2) used in published studies by people other than the developers (yes/no), and (3) successful clinimetric testing (yes/no). Results: Seventy-three devices were identified, 22 were wearable, 38 were non-wearable, and 13 were hybrid devices. In accordance with our classification method, 9 devices were ‘recommended’, 34 devices were ‘suggested’, and 30 devices were classified as ‘listed’. Within the wearable devices group, the Mobility Lab sensors from Ambulatory Parkinson’s Disease Monitoring (APDM), Physilog®, StepWatch 3, TriTrac RT3 Triaxial accelerometer, McRoberts DynaPort, and Axivity (AX3) were classified as ‘recommended’. Within the non-wearable devices group, the Nintendo Wii Balance Board and GAITRite® gait analysis system were classified as ‘recommended’. Within the hybrid devices group only the Kinesia® system was classified as ‘recommended’."pt_PT
dc.description.sponsorshipThe present research is part of the EU project SENSE-PARK, funded under the Seventh Framework Programme, Cooperation – ICT, Grant Agreement no. 288557.pt_PT
dc.identifier.citationGodinho et al. Journal of NeuroEngineering and Rehabilitation (2016) 13:24 DOI 10.1186/s12984-016-0136-7pt_PT
dc.identifier.doi10.1186/s12984-016-0136-7pt_PT
dc.identifier.issn1743-0003
dc.identifier.urihttp://hdl.handle.net/10400.26/12867
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherBioMed Centralpt_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://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-016-0136-7pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOutcomespt_PT
dc.subjectParkinson’s diseasept_PT
dc.subjectQuantitative assessmentpt_PT
dc.subjectWearable devicespt_PT
dc.subjectMonitoring technologiespt_PT
dc.titleA systematic review of the characteristics and validity of monitoring technologies to assess Parkinson’s diseasept_PT
dc.typejournal article
dspace.entity.typePublication
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.titleJournal of NeuroEngineering and Rehabilitationpt_PT
oaire.citation.volume13(24)pt_PT
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicationb2d68ae9-12e1-4e25-bec2-b4acf17ca8cc
relation.isProjectOfPublication.latestForDiscoveryb2d68ae9-12e1-4e25-bec2-b4acf17ca8cc

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