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author Scott, Kirsty
Bonci, Tecla
Salis, Francesca
Alcock, Lisa
Buckley, Ellen
Gazit, Eran
Hansen, Clint
Schwickert, Lars
Aminian, Kamiar
Bertuletti, Stefano
Caruso, Marco
Chiari, Lorenzo
Sharrack, Basil
Maetzler, Walter
Becker, Clemens
Hausdorff, Jeffrey M.
Vogiatzis, Ioannis
Brown, Philip
Del Din, Silvia
Eskofier, Björn
Paraschiv-Ionescu, Anisoara
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Micó-Amigo, Encarna M.
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Sillen, Henrik
Singleton, David
Ullrich, Martin
Vereijken, Beatrix
Froehlich, Marcel
Brittain, Gavin
Caulfield, Brian
Koch, Sarah
Carsin, Anne-Elie
Garcia-Aymerich, Judith
Kuederle, Arne
Yarnall, Alison
Rochester, Lynn
Cereatti, Andrea
Mazzà, Claudia
author_facet Scott, Kirsty
Bonci, Tecla
Salis, Francesca
Alcock, Lisa
Buckley, Ellen
Gazit, Eran
Hansen, Clint
Schwickert, Lars
Aminian, Kamiar
Bertuletti, Stefano
Caruso, Marco
Chiari, Lorenzo
Sharrack, Basil
Maetzler, Walter
Becker, Clemens
Hausdorff, Jeffrey M.
Vogiatzis, Ioannis
Brown, Philip
Del Din, Silvia
Eskofier, Björn
Paraschiv-Ionescu, Anisoara
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Micó-Amigo, Encarna M.
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Sillen, Henrik
Singleton, David
Ullrich, Martin
Vereijken, Beatrix
Froehlich, Marcel
Brittain, Gavin
Caulfield, Brian
Koch, Sarah
Carsin, Anne-Elie
Garcia-Aymerich, Judith
Kuederle, Arne
Yarnall, Alison
Rochester, Lynn
Cereatti, Andrea
Mazzà, Claudia
author_sort Scott, Kirsty
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01116-1.
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spelling pubmed-97549962022-12-16 Design and validation of a multi-task, multi-context protocol for real-world gait simulation Scott, Kirsty Bonci, Tecla Salis, Francesca Alcock, Lisa Buckley, Ellen Gazit, Eran Hansen, Clint Schwickert, Lars Aminian, Kamiar Bertuletti, Stefano Caruso, Marco Chiari, Lorenzo Sharrack, Basil Maetzler, Walter Becker, Clemens Hausdorff, Jeffrey M. Vogiatzis, Ioannis Brown, Philip Del Din, Silvia Eskofier, Björn Paraschiv-Ionescu, Anisoara Keogh, Alison Kirk, Cameron Kluge, Felix Micó-Amigo, Encarna M. Mueller, Arne Neatrour, Isabel Niessen, Martijn Palmerini, Luca Sillen, Henrik Singleton, David Ullrich, Martin Vereijken, Beatrix Froehlich, Marcel Brittain, Gavin Caulfield, Brian Koch, Sarah Carsin, Anne-Elie Garcia-Aymerich, Judith Kuederle, Arne Yarnall, Alison Rochester, Lynn Cereatti, Andrea Mazzà, Claudia J Neuroeng Rehabil Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01116-1. BioMed Central 2022-12-16 /pmc/articles/PMC9754996/ /pubmed/36522646 http://dx.doi.org/10.1186/s12984-022-01116-1 Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Scott, Kirsty
Bonci, Tecla
Salis, Francesca
Alcock, Lisa
Buckley, Ellen
Gazit, Eran
Hansen, Clint
Schwickert, Lars
Aminian, Kamiar
Bertuletti, Stefano
Caruso, Marco
Chiari, Lorenzo
Sharrack, Basil
Maetzler, Walter
Becker, Clemens
Hausdorff, Jeffrey M.
Vogiatzis, Ioannis
Brown, Philip
Del Din, Silvia
Eskofier, Björn
Paraschiv-Ionescu, Anisoara
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Micó-Amigo, Encarna M.
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Sillen, Henrik
Singleton, David
Ullrich, Martin
Vereijken, Beatrix
Froehlich, Marcel
Brittain, Gavin
Caulfield, Brian
Koch, Sarah
Carsin, Anne-Elie
Garcia-Aymerich, Judith
Kuederle, Arne
Yarnall, Alison
Rochester, Lynn
Cereatti, Andrea
Mazzà, Claudia
Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title_full Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title_fullStr Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title_full_unstemmed Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title_short Design and validation of a multi-task, multi-context protocol for real-world gait simulation
title_sort design and validation of a multi-task, multi-context protocol for real-world gait simulation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754996/
https://www.ncbi.nlm.nih.gov/pubmed/36522646
http://dx.doi.org/10.1186/s12984-022-01116-1
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