Design and validation of a multi-task, multi-context protocol for real-world gait simulation

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• dc.contributor.author Scott, Kirsty
• dc.contributor.author Koch, Sarah
• dc.contributor.author Carsin, Anne-Elie
• dc.contributor.author García Aymerich, Judith
• dc.contributor.author Mobilise-D consortium
• dc.date.accessioned 2023-01-11T07:23:03Z
• dc.date.available 2023-01-11T07:23:03Z
• dc.date.issued 2022
• dc.description.abstract Background: Measuring mobility in daily life entails dealing with confounding factors arising from multiple sources, including pathological characteristics, patient specific walking strategies, environment/context, and purpose of the task. The primary aim of this study is to propose and validate a protocol for simulating real-world gait accounting for all these factors within a single set of observations, while ensuring minimisation of participant burden and safety. Methods: The protocol included eight motor tasks at varying speed, incline/steps, surface, path shape, cognitive demand, and included postures that may abruptly alter the participants' strategy of walking. It was deployed in a convenience sample of 108 participants recruited from six cohorts that included older healthy adults (HA) and participants with potentially altered mobility due to Parkinson's disease (PD), multiple sclerosis (MS), proximal femoral fracture (PFF), chronic obstructive pulmonary disease (COPD) or congestive heart failure (CHF). A novelty introduced in the protocol was the tiered approach to increase difficulty both within the same task (e.g., by allowing use of aids or armrests) and across tasks. Results: The protocol proved to be safe and feasible (all participants could complete it and no adverse events were recorded) and the addition of the more complex tasks allowed a much greater spread in walking speeds to be achieved compared to standard straight walking trials. Furthermore, it allowed a representation of a variety of daily life relevant mobility aspects and can therefore be used for the validation of monitoring devices used in real life. Conclusions: The protocol allowed for measuring gait in a variety of pathological conditions suggests that it can also be used to detect changes in gait due to, for example, the onset or progression of a disease, or due to therapy. Trial registration: ISRCTN-12246987.
• dc.description.sponsorship This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No. 820820. This JU receives support from the European Union’s Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). This study was also supported by the National Institute for Health Research (NIHR) through the Sheffield Biomedical Research Centre (BRC, Grant Number IS-BRC-1215–20017). AY, LA, LR and SDD are also supported by the National Institute for Health Research (NIHR) Newcastle Biomedical Research Center (BRC) based at Newcastle Upon Tyne Hospital NHS Foundation Trust and Newcastle University. AY, LA, LR and SDD are also supported by the NIHR/Wellcome Trust Clinical Research Facility (CRF) infrastructure at Newcastle upon Tyne Hospitals NHS Foundation Trust. ISGlobal acknowledges support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S), and from the Generalitat de Catalunya through the CERCA Program. All opinions are those of the authors and not the funders. Neither IMI nor the European Union, EFPIA, NHS, NIHR, DHSC or any Associated Partners are responsible for any use that may be made of the information contained herein.
• dc.format.mimetype application/pdf
• dc.identifier.citation Scott K, Bonci T, Salis F, Alcock L, Buckley E, Gazit E et al. Design and validation of a multi-task, multi-context protocol for real-world gait simulation. J Neuroeng Rehabil. 2022 Dec 16;19(1):141. DOI: 10.1186/s12984-022-01116-1
• dc.identifier.doi http://dx.doi.org/10.1186/s12984-022-01116-1
• dc.identifier.issn 1743-0003
• dc.identifier.uri http://hdl.handle.net/10230/55253
• dc.language.iso eng
• dc.publisher BioMed Central
• dc.relation.ispartof J Neuroeng Rehabil. 2022 Dec 16;19(1):141
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820820
• dc.rights © Crown 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Digital mobility outcomes
• dc.subject.keyword Mobility monitoring
• dc.subject.keyword Neurological diseases
• dc.subject.keyword Technical validation
• dc.subject.keyword Wearable sensors
• dc.title Design and validation of a multi-task, multi-context protocol for real-world gait simulation
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion