Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.

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dc.contributor.authorSica, Marco
dc.contributor.authorTedesco, Salvatore
dc.contributor.authorCrowe, Colum
dc.contributor.authorKenny, Lorna
dc.contributor.authorMoore, Kevin
dc.contributor.authorTimmons, Suzanne
dc.contributor.authorBarton, John
dc.contributor.authorO'Flynn, Brendan
dc.contributor.authorKomaris, Dimitrios-Sokratis
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderInterregen
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderAbbVieen
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-02-09T14:12:53Z
dc.date.available2021-02-09T14:12:53Z
dc.date.issued2021-02-04
dc.date.updated2021-02-09T13:58:49Z
dc.description.abstractParkinson's disease (PD) is a progressive neurological disorder of the central nervous system that deteriorates motor functions, while it is also accompanied by a large diversity of non-motor symptoms such as cognitive impairment and mood changes, hallucinations, and sleep disturbance. Parkinsonism is evaluated during clinical examinations and appropriate medical treatments are directed towards alleviating symptoms. Tri-axial accelerometers, gyroscopes, and magnetometers could be adopted to support clinicians in the decision-making process by objectively quantifying the patient's condition. In this context, at-home data collections aim to capture motor function during daily living and unobstructedly assess the patients' status and the disease's symptoms for prolonged time periods. This review aims to collate existing literature on PD monitoring using inertial sensors while it focuses on papers with at least one free-living data capture unsupervised either directly or via videotapes. Twenty-four papers were selected at the end of the process: fourteen investigated gait impairments, eight of which focused on walking, three on turning, two on falls, and one on physical activity; ten articles on the other hand examined symptoms, including bradykinesia, tremor, dyskinesia, and motor state fluctuations in the on/off phenomenon. In summary, inertial sensors are capable of gathering data over a long period of time and have the potential to facilitate the monitoring of people with Parkinson's, providing relevant information about their motor status. Concerning gait impairments, kinematic parameters (such as duration of gait cycle, step length, and velocity) were typically used to discern PD from healthy subjects, whereas for symptoms' assessment, researchers were capable of achieving accuracies of over 90% in a free-living environment. Further investigations should be focused on the development of ad-hoc hardware and software capable of providing real-time feedback to clinicians and patients. In addition, features such as the wearability of the system and user comfort, set-up process, and instructions for use, need to be strongly considered in the development of wearable sensors for PD monitoring.en
dc.description.sponsorshipEuropean Regional Development Fund (ERDF under Ireland’s European Structural and Investment Funds Programme 2014-2020); European Commission (INTERREG NPA funded project SenDOC); Enterprise Ireland and Abbvie Inc. (under grant agreement no. IP 2017 0625)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleide0246528en
dc.identifier.citationSica, M., Tedesco, S., Crowe, C., Kenny, L., Moore, K., Timmons, S., Barton, J., O’Flynn, B. and Komaris, D.-S. (2021) 'Continuous home monitoring of Parkinson’s disease using inertial sensors: A systematic review', PLOS ONE, 16(2), e0246528 (12 pp). doi: 10.1371/journal.pone.0246528en
dc.identifier.doi10.1371/journal.pone.0246528en
dc.identifier.endpage22en
dc.identifier.issn1932-6203
dc.identifier.issued2en
dc.identifier.journaltitlePLOS ONEen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/11053
dc.identifier.volume16en
dc.language.isoenen
dc.publisherPLoSen
dc.relation.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246528
dc.rights© 2021 Sica et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectGait analysisen
dc.subjectParkinson diseaseen
dc.subjectMyoclonusen
dc.subjectAlgorithmsen
dc.subjectWristen
dc.subjectPhysical activityen
dc.subjectInertiaen
dc.subjectPrototypesen
dc.titleContinuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.en
dc.typeArticle (peer-reviewed)en
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