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.

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions / Salis, Francesca; Bertuletti, Stefano; Bonci, Tecla; Caruso, Marco; Scott, Kirsty; Alcock, Lisa; Buckley, Ellen; Gazit, Eran; Hansen, Clint; Schwickert, Lars; Aminian, Kamiar; Becker, Clemens; Brown, Philip; Carsin, Anne-Elie; Caulfield, Brian; Chiari, Lorenzo; D'Ascanio, Ilaria; Del Din, Silvia; Eskofier, Bjoern M; Garcia-Aymerich, Judith; Hausdorff, Jeffrey M; Hume, Emily C; Kirk, Cameron; Kluge, Felix; Koch, Sarah; Kuederle, Arne; Maetzler, Walter; Micó-Amigo, Encarna M; Mueller, Arne; Neatrour, Isabel; Paraschiv-Ionescu, Anisoara; Palmerini, Luca; Yarnall, Alison J; Rochester, Lynn; Sharrack, Basil; Singleton, David; Vereijken, Beatrix; Vogiatzis, Ioannis; Della Croce, Ugo; Mazzà, Claudia; Cereatti, Andrea; For The Mobilise-D Consortium, Null. - In: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. - ISSN 2296-4185. - 11:(2023), p. 1143248. [10.3389/fbioe.2023.1143248]

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

Salis, Francesca;Bertuletti, Stefano;Bonci, Tecla;Caruso, Marco;Della Croce, Ugo;Cereatti, Andrea;
2023-01-01

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.
2023
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions / Salis, Francesca; Bertuletti, Stefano; Bonci, Tecla; Caruso, Marco; Scott, Kirsty; Alcock, Lisa; Buckley, Ellen; Gazit, Eran; Hansen, Clint; Schwickert, Lars; Aminian, Kamiar; Becker, Clemens; Brown, Philip; Carsin, Anne-Elie; Caulfield, Brian; Chiari, Lorenzo; D'Ascanio, Ilaria; Del Din, Silvia; Eskofier, Bjoern M; Garcia-Aymerich, Judith; Hausdorff, Jeffrey M; Hume, Emily C; Kirk, Cameron; Kluge, Felix; Koch, Sarah; Kuederle, Arne; Maetzler, Walter; Micó-Amigo, Encarna M; Mueller, Arne; Neatrour, Isabel; Paraschiv-Ionescu, Anisoara; Palmerini, Luca; Yarnall, Alison J; Rochester, Lynn; Sharrack, Basil; Singleton, David; Vereijken, Beatrix; Vogiatzis, Ioannis; Della Croce, Ugo; Mazzà, Claudia; Cereatti, Andrea; For The Mobilise-D Consortium, Null. - In: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. - ISSN 2296-4185. - 11:(2023), p. 1143248. [10.3389/fbioe.2023.1143248]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/317369
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