Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Autor: Kirk C; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK., Küderle A; Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Micó-Amigo ME; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK., Bonci T; Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK., Paraschiv-Ionescu A; Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland., Ullrich M; Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Soltani A; Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland., Gazit E; Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Salis F; Department of Biomedical Sciences, University of Sassari, Sassari, Italy., Alcock L; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK.; National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and the Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK., Aminian K; Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland., Becker C; Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany., Bertuletti S; Department of Biomedical Sciences, University of Sassari, Sassari, Italy., Brown P; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK., Buckley E; Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK., Cantu A; School of Computing, Newcastle University, Newcastle Upon Tyne, UK., Carsin AE; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain., Caruso M; Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy., Caulfield B; Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland., Cereatti A; Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy., Chiari L; Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy.; Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy., D'Ascanio I; Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy., Garcia-Aymerich J; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain., Hansen C; Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany., Hausdorff JM; Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.; Department of Physical Therapy, Sagol School of Neuroscience, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.; Rush Alzheimer's Disease Center and Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA., Hiden H; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK., Hume E; Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle Upon Tyne, UK., Keogh A; Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland., Kluge F; Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland., Koch S; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain., Maetzler W; Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany., Megaritis D; Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle Upon Tyne, UK., Mueller A; Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland., Niessen M; McRoberts BV, The Hague, The Netherlands., Palmerini L; Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy.; Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV), University of Bologna, Bologna, Italy., Schwickert L; Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany., Scott K; Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK., Sharrack B; Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK., Sillén H; Digital Health R&D, AstraZeneca, Sweden., Singleton D; Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland., Vereijken B; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway., Vogiatzis I; Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle Upon Tyne, UK., Yarnall AJ; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK.; National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and the Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK., Rochester L; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK.; National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and the Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.; The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK., Mazzà C; Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK., Eskofier BM; Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Del Din S; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, The Catalyst 3 Science Square, Room 3.27, Newcastle Upon Tyne, NE4 5TG, UK. silvia.del-din@ncl.ac.uk.; National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC), Newcastle University and the Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK. silvia.del-din@ncl.ac.uk.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Jan 19; Vol. 14 (1), pp. 1754. Date of Electronic Publication: 2024 Jan 19.
DOI: 10.1038/s41598-024-51766-5
Abstrakt: This study aimed to validate a wearable device's walking speed estimation pipeline, considering complexity, speed, and walking bout duration. The goal was to provide recommendations on the use of wearable devices for real-world mobility analysis. Participants with Parkinson's Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Disease, Congestive Heart Failure, and healthy older adults (n = 97) were monitored in the laboratory and the real-world (2.5 h), using a lower back wearable device. Two walking speed estimation pipelines were validated across 4408/1298 (2.5 h/laboratory) detected walking bouts, compared to 4620/1365 bouts detected by a multi-sensor reference system. In the laboratory, the mean absolute error (MAE) and mean relative error (MRE) for walking speed estimation ranged from 0.06 to 0.12 m/s and - 2.1 to 14.4%, with ICCs (Intraclass correlation coefficients) between good (0.79) and excellent (0.91). Real-world MAE ranged from 0.09 to 0.13, MARE from 1.3 to 22.7%, with ICCs indicating moderate (0.57) to good (0.88) agreement. Lower errors were observed for cohorts without major gait impairments, less complex tasks, and longer walking bouts. The analytical pipelines demonstrated moderate to good accuracy in estimating walking speed. Accuracy depended on confounding factors, emphasizing the need for robust technical validation before clinical application.Trial registration: ISRCTN - 12246987.
(© 2024. The Author(s).)
Databáze: MEDLINE
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