dc.contributor.author | Salis, Francesca | |
dc.contributor.author | Bertuletti, Stefano | |
dc.contributor.author | Bonci, Tecla | |
dc.contributor.author | Caruso, Marco | |
dc.contributor.author | Scott, Kirsty | |
dc.contributor.author | Alcock, Lisa | |
dc.contributor.author | Buckley, Ellen | |
dc.contributor.author | Gazit, Eran | |
dc.contributor.author | Hansen, Clint | |
dc.contributor.author | Schwickert, Lars | |
dc.contributor.author | Aminian, Kamiar | |
dc.contributor.author | Becker, Clemens | |
dc.contributor.author | Brown, Philip | |
dc.contributor.author | Carsin, Anne-Elie | |
dc.contributor.author | Caulfield, Brian | |
dc.contributor.author | Chiari, Lorenzo | |
dc.contributor.author | D’Ascanio, Ilaria | |
dc.contributor.author | Del Din, Silvia | |
dc.contributor.author | Eskofier, Bjoern M. | |
dc.contributor.author | Garcia-Aymerich, Judith | |
dc.contributor.author | Hausdorff, Jeffrey M. | |
dc.contributor.author | Hume, Emily C. | |
dc.contributor.author | Kirk, Cameron | |
dc.contributor.author | Kluge, Felix | |
dc.contributor.author | Koch, Sarah | |
dc.contributor.author | Kuederle, Arne | |
dc.contributor.author | Maetzler, Walter | |
dc.contributor.author | Micó-Amigo, Encarna M. | |
dc.contributor.author | Mueller, Arne | |
dc.contributor.author | Neatrour, Isabel | |
dc.contributor.author | Paraschiv-Ionescu, Anisoara | |
dc.contributor.author | Palmerini, Luca | |
dc.contributor.author | Yarnall, Alison J. | |
dc.contributor.author | Rochester, Lynn | |
dc.contributor.author | Sharrack, Basil | |
dc.contributor.author | Singleton, David | |
dc.contributor.author | Vereijken, Beatrix | |
dc.contributor.author | Vogiatzis, Ioannis | |
dc.contributor.author | Della Croce, Ugo | |
dc.contributor.author | Mazzà, Claudia | |
dc.contributor.author | Cereatti, Andrea | |
dc.date.accessioned | 2023-11-08T07:47:43Z | |
dc.date.available | 2023-11-08T07:47:43Z | |
dc.date.created | 2023-06-15T11:09:56Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Frontiers in Bioengineering and Biotechnology. 2023, 11 . | en_US |
dc.identifier.issn | 2296-4185 | |
dc.identifier.uri | https://hdl.handle.net/11250/3101256 | |
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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Frontiers Media S. A. | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A multi-sensor wearable system for the assessment of diseased gait in real-world conditions | en_US |
dc.title.alternative | A multi-sensor wearable system for the assessment of diseased gait in real-world conditions | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 11 | en_US |
dc.source.journal | Frontiers in Bioengineering and Biotechnology | en_US |
dc.identifier.doi | 10.3389/fbioe.2023.1143248 | |
dc.identifier.cristin | 2154796 | |
dc.source.articlenumber | 1143248 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |