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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.

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Title: Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.
Authors: Romijnders R; Digital Signal Processing and System Theory, Electrical and Information Engineering, Faculty of Engineering, Kiel University, Kiel, Germany.; Arbeitsgruppe Neurogeriatrie, Department of Neurology, Universitätsklinikum Schleswig-Holstein, Kiel, Germany., Salis F; Department of Biomedical Sciences, University of Sassari, Sassari, Italy., Hansen C; Arbeitsgruppe Neurogeriatrie, Department of Neurology, Universitätsklinikum Schleswig-Holstein, Kiel, Germany., Küderle A; Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Paraschiv-Ionescu A; Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Cereatti A; Department of Electronics and Telecommunications, Polytechnic of Turin, Turin, Italy., Alcock L; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom., Aminian K; Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Becker C; Gesellschaft für Medizinische Forschung, Robert-Bosch Foundation GmbH, Stuttgart, Germany., Bertuletti S; Department of Biomedical Sciences, University of Sassari, Sassari, Italy., Bonci T; INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom.; Department of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom., Brown P; Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom., Buckley E; INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom.; Department of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom., Cantu A; School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom., Carsin AE; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.; CIBER Epidemiología y Salud Pública, Madrid, Spain., Caruso M; Department of Electronics and Telecommunications, Polytechnic of Turin, 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., 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 (CIRISDV), University of Bologna, Bologna, Italy., D'Ascanio I; Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', University of Bologna, Bologna, Italy., Del Din S; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom., Eskofier B; Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Fernstad SJ; School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom., Fröhlich MS; Grünenthal GmbH, Aachen, Germany., Garcia Aymerich J; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.; CIBER Epidemiología y Salud Pública, Madrid, Spain., Gazit E; Center for the Study of Movement, Cognition and Mobility, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel., Hausdorff JM; Center for the Study of Movement, Cognition and Mobility, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.; Department of Physical Therapy, Sackler Faculty of Medicine & Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel., Hiden H; School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom., Hume E; Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom., 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., Kirk C; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom., Kluge F; Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; Novartis Institute of Biomedical Research, Novartis Pharma AG, Basel, Switzerland., Koch S; Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.; Faculty of Health and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.; CIBER Epidemiología y Salud Pública, Madrid, Spain., Mazzà C; INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom.; Department of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom., Megaritis D; Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom., Micó-Amigo E; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom., Müller A; Novartis Institute of Biomedical Research, Novartis Pharma AG, Basel, Switzerland., 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 (CIRISDV), University of Bologna, Bologna, Italy., Rochester L; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.; Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom., Schwickert L; Gesellschaft für Medizinische Forschung, Robert-Bosch Foundation GmbH, Stuttgart, Germany., Scott K; INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, United Kingdom.; Department of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom., Sharrack B; Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom., 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., Soltani A; Laboratory of Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.; Digital Health Department, CSEM SA, Neuchâtel, Switzerland., Ullrich M; Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., 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 upon Tyne, United Kingdom., Yarnall A; Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.; Department of Mechanical Engineering, The University of Sheffield, Sheffield, United Kingdom., Schmidt G; Digital Signal Processing and System Theory, Electrical and Information Engineering, Faculty of Engineering, Kiel University, Kiel, Germany., Maetzler W; Arbeitsgruppe Neurogeriatrie, Department of Neurology, Universitätsklinikum Schleswig-Holstein, Kiel, Germany.
Source: Frontiers in neurology [Front Neurol] 2023 Oct 16; Vol. 14, pp. 1247532. Date of Electronic Publication: 2023 Oct 16 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
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          Identifiers:
            – Type: issn-print
              Value: 1664-2295
          Numbering:
            – Type: volume
              Value: 14
          Titles:
            – TitleFull: Frontiers in neurology
              Type: main
ResultId 1