TY - JOUR
T1 - Design and validation of a multi-task, multi-context protocol for real-world gait simulation
AU - Mobilise-D consortium
AU - Scott, Kirsty
AU - Bonci, Tecla
AU - Salis, Francesca
AU - Alcock, Lisa
AU - Buckley, Ellen
AU - Gazit, Eran
AU - Hansen, Clint
AU - Schwickert, Lars
AU - Aminian, Kamiar
AU - Bertuletti, Stefano
AU - Caruso, Marco
AU - Chiari, Lorenzo
AU - Sharrack, Basil
AU - Maetzler, Walter
AU - Becker, Clemens
AU - Hausdorff, Jeffrey M.
AU - Vogiatzis, Ioannis
AU - Brown, Philip
AU - Del Din, Silvia
AU - Eskofier, Björn
AU - Paraschiv-Ionescu, Anisoara
AU - Keogh, Alison
AU - Kirk, Cameron
AU - Kluge, Felix
AU - Micó-Amigo, Encarna M.
AU - Mueller, Arne
AU - Neatrour, Isabel
AU - Niessen, Martijn
AU - Palmerini, Luca
AU - Sillen, Henrik
AU - Singleton, David
AU - Ullrich, Martin
AU - Vereijken, Beatrix
AU - Froehlich, Marcel
AU - Brittain, Gavin
AU - Caulfield, Brian
AU - Koch, Sarah
AU - Carsin, Anne Elie
AU - Garcia-Aymerich, Judith
AU - Kuederle, Arne
AU - Yarnall, Alison
AU - Rochester, Lynn
AU - Cereatti, Andrea
AU - Mazzà, Claudia
N1 - Funding iInformation: 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.
PY - 2022/12/16
Y1 - 2022/12/16
N2 - 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.
AB - 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.
KW - Digital mobility outcomes
KW - Mobility monitoring
KW - Neurological diseases
KW - Technical validation
KW - Wearable sensors
U2 - 10.1186/s12984-022-01116-1
DO - 10.1186/s12984-022-01116-1
M3 - Article
C2 - 36522646
AN - SCOPUS:85144208183
SN - 1743-0003
VL - 19
JO - Journal of NeuroEngineering and Rehabilitation
JF - Journal of NeuroEngineering and Rehabilitation
IS - 1
M1 - 141
ER -