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

Scott K, Bonci T, Salis F, Alcock L, Buckley E, Gazit E, Hansen C, Schwickert L, Aminian K, Bertuletti S, Caruso M, Chiari L, Sharrack B, Maetzler W, Becker C, Hausdorff JM, Vogiatzis I, Brown P, Del Din S, Eskofier B, Paraschiv-Ionescu A, Keogh A, Kirk C, Kluge F, Mico-Amigo EM, Mueller A, Neatrour I, Niessen M, Palmerini L, Sillen H, Singleton D, Ullrich M, Vereijken B, Froehlich M, Brittain G, Caulfield B, Koch S, Carsin AE, Garcia-Aymerich J, Küderle A, Yarnall A, Rochester L, Cereatti A, Mazza C (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Book Volume: 19

Journal Issue: 1

DOI: 10.1186/s12984-022-01116-1

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.

Authors with CRIS profile

Involved external institutions

Northumbria University United Kingdom (GB) Newcastle University United Kingdom (GB) University of Bologna / Università di Bologna Italy (IT) University College Dublin (UCD) Ireland (IE) Instituto de Salud Global de Barcelona (ISGlobal) Spain (ES) University of Sheffield United Kingdom (GB) Tel Aviv Sourasky Medical Center / Ichilov Hospital Israel (IL) AstraZeneca UK Limited United Kingdom (GB) McRoberts B.V. Netherlands (NL) Sheffield Teaching Hospitals NHS Foundation Trust United Kingdom (GB) Robert Bosch Gesellschaft für medizinische Forschung mbH Germany (DE) Università degli Studi di Sassari (UNISS) Italy (IT) Novartis AG Switzerland (CH) Grünenthal GmbH Germany (DE) École Polytechnique Fédérale de Lausanne (EPFL) Switzerland (CH) NTNU Trondheim - Norwegian University of Science and Technology Norway (NO) Universitätsklinikum Schleswig-Holstein (UKSH) Germany (DE) Newcastle upon Tyne Hospitals NHS Foundation Trust United Kingdom (GB)

How to cite

APA:

Scott, K., Bonci, T., Salis, F., Alcock, L., Buckley, E., Gazit, E.,... Mazza, C. (2022). Design and validation of a multi-task, multi-context protocol for real-world gait simulation. Journal of neuroEngineering and rehabilitation, 19(1). https://dx.doi.org/10.1186/s12984-022-01116-1

MLA:

Scott, Kirsty, et al. "Design and validation of a multi-task, multi-context protocol for real-world gait simulation." Journal of neuroEngineering and rehabilitation 19.1 (2022).

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