A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

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• dc.contributor.author Salis, Francesca
• dc.contributor.author Carsin, Anne-Elie
• dc.contributor.author García Aymerich, Judith
• dc.contributor.author Koch, Sarah
• dc.contributor.author Mobilise-D consortium
• dc.date.accessioned 2023-07-21T06:43:18Z
• dc.date.available 2023-07-21T06:43:18Z
• dc.date.issued 2023
• dc.description.abstract Introduction: Accurately assessing people's gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve the estimation of gait-related digital mobility outcomes (DMOs) in real-world scenarios, this study presents a wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units and two distance sensors). Methods: The INDIP technical validity was assessed against stereophotogrammetry during a laboratory experimental protocol comprising structured tests (including continuous curvilinear and rectilinear walking and steps) and a simulation of daily-life activities (including intermittent gait and short walking bouts). To evaluate its performance on various gait patterns, data were collected on 128 participants from seven cohorts: healthy young and older adults, patients with Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, congestive heart failure, and proximal femur fracture. Moreover, INDIP usability was evaluated by recording 2.5-h of real-world unsupervised activity. Results and discussion: Excellent absolute agreement (ICC >0.95) and very limited mean absolute errors were observed for all cohorts and digital mobility outcomes (cadence ≤0.61 steps/min, stride length ≤0.02 m, walking speed ≤0.02 m/s) in the structured tests. Larger, but limited, errors were observed during the daily-life simulation (cadence 2.72-4.87 steps/min, stride length 0.04-0.06 m, walking speed 0.03-0.05 m/s). Neither major technical nor usability issues were declared during the 2.5-h acquisitions. Therefore, the INDIP system can be considered a valid and feasible solution to collect reference data for analyzing gait in real-world conditions.
• 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). Content in this publication reflects the authors view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein. LA, SD, AY, and LR are also supported by the National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre (BRC) based at Newcastle Upon Tyne Hospital NHS Foundation Trust and Newcastle University. The work was also supported by the NIHR/Wellcome Trust Clinical Research Facility (CRF) infrastructure at Newcastle upon Tyne Hospitals NHS Foundation Trust. All opinions are those of the authors and not the funders. A-EC, JG-A, and SK, all researchers from the Barcelona Institute for Global Health received support from the Spanish Ministry of Science, Innovation and Universities through the “Centro de Excelencia Severo Ochoa 2019–2023” Programme (CEX 2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Programme.
• dc.format.mimetype application/pdf
• dc.identifier.citation Salis F, Bertuletti S, Bonci T, Caruso M, Scott K, Alcock L, et al. A multi-sensor wearable system for the assessment of diseased gait in real-world conditions. Front Bioeng Biotechnol. 2023;11:1143248. DOI: 10.3389/fbioe.2023.1143248
• dc.identifier.doi http://dx.doi.org/10.3389/fbioe.2023.1143248
• dc.identifier.issn 2296-4185
• dc.identifier.uri http://hdl.handle.net/10230/57632
• dc.language.iso eng
• dc.publisher Frontiers
• dc.relation.ispartof Front Bioeng Biotechnol. 2023;11:1143248
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820820
• dc.rights © 2023 Salis, Bertuletti, Bonci, Caruso,Scott,Alcock,Buckley,Gazit,Hansen, Schwickert, Aminian, Becker, Brown, Carsin, Caulfield, Chiari, D’Ascanio, Del Din, Eskofier, Garcia-Aymerich, Hausdorff, Hume, Kirk, Kluge, Koch, Kuederle, Maetzler, MicóAmigo, Mueller, Neatrour, ParaschivIonescu, Palmerini, Yarnall, Rochester, Sharrack,Singleton,Vereijken,Vogiatzis,Della Croce, Mazzà and Cereatti and for the Mobilise-D consortium. This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CCBY). Theuse, distributionor reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) arecreditedandthattheoriginalpublicationin this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword IMU
• dc.subject.keyword Distance sensors
• dc.subject.keyword Ecological conditions
• dc.subject.keyword Gait analysis
• dc.subject.keyword Pressure insoles
• dc.subject.keyword Spatial-temporal gait parameters
• dc.subject.keyword Wearable sensors
• dc.title A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion