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Technical validation of real-world monitoring of gait: a multicentric observational study

INTRODUCTION: Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitatio...

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Autores principales: Mazzà, Claudia, Alcock, Lisa, Aminian, Kamiar, Becker, Clemens, Bertuletti, Stefano, Bonci, Tecla, Brown, Philip, Brozgol, Marina, Buckley, Ellen, Carsin, Anne-Elie, Caruso, Marco, Caulfield, Brian, Cereatti, Andrea, Chiari, Lorenzo, Chynkiamis, Nikolaos, Ciravegna, Fabio, Del Din, Silvia, Eskofier, Björn, Evers, Jordi, Garcia Aymerich, Judith, Gazit, Eran, Hansen, Clint, Hausdorff, Jeffrey M, Helbostad, Jorunn L, Hiden, Hugo, Hume, Emily, Paraschiv-Ionescu, Anisoara, Ireson, Neil, Keogh, Alison, Kirk, Cameron, Kluge, Felix, Koch, Sarah, Küderle, Arne, Lanfranchi, Vitaveska, Maetzler, Walter, Micó-Amigo, M Encarna, Mueller, Arne, Neatrour, Isabel, Niessen, Martijn, Palmerini, Luca, Pluimgraaff, Lucas, Reggi, Luca, Salis, Francesca, Schwickert, Lars, Scott, Kirsty, Sharrack, Basil, Sillen, Henrik, Singleton, David, Soltani, Abolfazi, Taraldsen, Kristin, Ullrich, Martin, Van Gelder, Linda, Vereijken, Beatrix, Vogiatzis, Ioannis, Warmerdam, Elke, Yarnall, Alison, Rochester, Lynn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640671/
https://www.ncbi.nlm.nih.gov/pubmed/34857567
http://dx.doi.org/10.1136/bmjopen-2021-050785
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author Mazzà, Claudia
Alcock, Lisa
Aminian, Kamiar
Becker, Clemens
Bertuletti, Stefano
Bonci, Tecla
Brown, Philip
Brozgol, Marina
Buckley, Ellen
Carsin, Anne-Elie
Caruso, Marco
Caulfield, Brian
Cereatti, Andrea
Chiari, Lorenzo
Chynkiamis, Nikolaos
Ciravegna, Fabio
Del Din, Silvia
Eskofier, Björn
Evers, Jordi
Garcia Aymerich, Judith
Gazit, Eran
Hansen, Clint
Hausdorff, Jeffrey M
Helbostad, Jorunn L
Hiden, Hugo
Hume, Emily
Paraschiv-Ionescu, Anisoara
Ireson, Neil
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Koch, Sarah
Küderle, Arne
Lanfranchi, Vitaveska
Maetzler, Walter
Micó-Amigo, M Encarna
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Pluimgraaff, Lucas
Reggi, Luca
Salis, Francesca
Schwickert, Lars
Scott, Kirsty
Sharrack, Basil
Sillen, Henrik
Singleton, David
Soltani, Abolfazi
Taraldsen, Kristin
Ullrich, Martin
Van Gelder, Linda
Vereijken, Beatrix
Vogiatzis, Ioannis
Warmerdam, Elke
Yarnall, Alison
Rochester, Lynn
author_facet Mazzà, Claudia
Alcock, Lisa
Aminian, Kamiar
Becker, Clemens
Bertuletti, Stefano
Bonci, Tecla
Brown, Philip
Brozgol, Marina
Buckley, Ellen
Carsin, Anne-Elie
Caruso, Marco
Caulfield, Brian
Cereatti, Andrea
Chiari, Lorenzo
Chynkiamis, Nikolaos
Ciravegna, Fabio
Del Din, Silvia
Eskofier, Björn
Evers, Jordi
Garcia Aymerich, Judith
Gazit, Eran
Hansen, Clint
Hausdorff, Jeffrey M
Helbostad, Jorunn L
Hiden, Hugo
Hume, Emily
Paraschiv-Ionescu, Anisoara
Ireson, Neil
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Koch, Sarah
Küderle, Arne
Lanfranchi, Vitaveska
Maetzler, Walter
Micó-Amigo, M Encarna
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Pluimgraaff, Lucas
Reggi, Luca
Salis, Francesca
Schwickert, Lars
Scott, Kirsty
Sharrack, Basil
Sillen, Henrik
Singleton, David
Soltani, Abolfazi
Taraldsen, Kristin
Ullrich, Martin
Van Gelder, Linda
Vereijken, Beatrix
Vogiatzis, Ioannis
Warmerdam, Elke
Yarnall, Alison
Rochester, Lynn
author_sort Mazzà, Claudia
collection PubMed
description INTRODUCTION: Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situations, and the users’ perspective on the device. METHODS AND ANALYSIS: This protocol was designed to establish the technical validity and patient acceptability of the approach used to quantify digital mobility in the real world by Mobilise-D, a consortium funded by the European Union (EU) as part of the Innovative Medicine Initiative, aiming at fostering regulatory approval and clinical adoption of DMOs. After defining the procedures for the metrological verification of an IMU-based device, the experimental procedures for the validation of algorithms used to calculate the DMOs are presented. These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. DMOs extracted from the monitoring device will be compared with those from different reference systems, chosen according to the contexts of observation. Questionnaires and interviews will evaluate the users’ perspective on the deployed technology and relevance of the mobility assessment. ETHICS AND DISSEMINATION: The study has been granted ethics approval by the centre’s committees (London—Bloomsbury Research Ethics committee; Helsinki Committee, Tel Aviv Sourasky Medical Centre; Medical Faculties of The University of Tübingen and of the University of Kiel). Data and algorithms will be made publicly available. TRIAL REGISTRATION NUMBER: ISRCTN (12246987).
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spelling pubmed-86406712021-12-15 Technical validation of real-world monitoring of gait: a multicentric observational study Mazzà, Claudia Alcock, Lisa Aminian, Kamiar Becker, Clemens Bertuletti, Stefano Bonci, Tecla Brown, Philip Brozgol, Marina Buckley, Ellen Carsin, Anne-Elie Caruso, Marco Caulfield, Brian Cereatti, Andrea Chiari, Lorenzo Chynkiamis, Nikolaos Ciravegna, Fabio Del Din, Silvia Eskofier, Björn Evers, Jordi Garcia Aymerich, Judith Gazit, Eran Hansen, Clint Hausdorff, Jeffrey M Helbostad, Jorunn L Hiden, Hugo Hume, Emily Paraschiv-Ionescu, Anisoara Ireson, Neil Keogh, Alison Kirk, Cameron Kluge, Felix Koch, Sarah Küderle, Arne Lanfranchi, Vitaveska Maetzler, Walter Micó-Amigo, M Encarna Mueller, Arne Neatrour, Isabel Niessen, Martijn Palmerini, Luca Pluimgraaff, Lucas Reggi, Luca Salis, Francesca Schwickert, Lars Scott, Kirsty Sharrack, Basil Sillen, Henrik Singleton, David Soltani, Abolfazi Taraldsen, Kristin Ullrich, Martin Van Gelder, Linda Vereijken, Beatrix Vogiatzis, Ioannis Warmerdam, Elke Yarnall, Alison Rochester, Lynn BMJ Open Diagnostics INTRODUCTION: Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations by quantifying digital mobility outcomes (DMOs) both during supervised structured assessments and in real-world conditions. The validity of IMU-based methods in the real-world, however, is still limited in patient populations. Rigorous validation procedures should cover the device metrological verification, the validation of the algorithms for the DMOs computation specifically for the population of interest and in daily life situations, and the users’ perspective on the device. METHODS AND ANALYSIS: This protocol was designed to establish the technical validity and patient acceptability of the approach used to quantify digital mobility in the real world by Mobilise-D, a consortium funded by the European Union (EU) as part of the Innovative Medicine Initiative, aiming at fostering regulatory approval and clinical adoption of DMOs. After defining the procedures for the metrological verification of an IMU-based device, the experimental procedures for the validation of algorithms used to calculate the DMOs are presented. These include laboratory and real-world assessment in 120 participants from five groups: healthy older adults; chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, proximal femoral fracture and congestive heart failure. DMOs extracted from the monitoring device will be compared with those from different reference systems, chosen according to the contexts of observation. Questionnaires and interviews will evaluate the users’ perspective on the deployed technology and relevance of the mobility assessment. ETHICS AND DISSEMINATION: The study has been granted ethics approval by the centre’s committees (London—Bloomsbury Research Ethics committee; Helsinki Committee, Tel Aviv Sourasky Medical Centre; Medical Faculties of The University of Tübingen and of the University of Kiel). Data and algorithms will be made publicly available. TRIAL REGISTRATION NUMBER: ISRCTN (12246987). BMJ Publishing Group 2021-12-02 /pmc/articles/PMC8640671/ /pubmed/34857567 http://dx.doi.org/10.1136/bmjopen-2021-050785 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Diagnostics
Mazzà, Claudia
Alcock, Lisa
Aminian, Kamiar
Becker, Clemens
Bertuletti, Stefano
Bonci, Tecla
Brown, Philip
Brozgol, Marina
Buckley, Ellen
Carsin, Anne-Elie
Caruso, Marco
Caulfield, Brian
Cereatti, Andrea
Chiari, Lorenzo
Chynkiamis, Nikolaos
Ciravegna, Fabio
Del Din, Silvia
Eskofier, Björn
Evers, Jordi
Garcia Aymerich, Judith
Gazit, Eran
Hansen, Clint
Hausdorff, Jeffrey M
Helbostad, Jorunn L
Hiden, Hugo
Hume, Emily
Paraschiv-Ionescu, Anisoara
Ireson, Neil
Keogh, Alison
Kirk, Cameron
Kluge, Felix
Koch, Sarah
Küderle, Arne
Lanfranchi, Vitaveska
Maetzler, Walter
Micó-Amigo, M Encarna
Mueller, Arne
Neatrour, Isabel
Niessen, Martijn
Palmerini, Luca
Pluimgraaff, Lucas
Reggi, Luca
Salis, Francesca
Schwickert, Lars
Scott, Kirsty
Sharrack, Basil
Sillen, Henrik
Singleton, David
Soltani, Abolfazi
Taraldsen, Kristin
Ullrich, Martin
Van Gelder, Linda
Vereijken, Beatrix
Vogiatzis, Ioannis
Warmerdam, Elke
Yarnall, Alison
Rochester, Lynn
Technical validation of real-world monitoring of gait: a multicentric observational study
title Technical validation of real-world monitoring of gait: a multicentric observational study
title_full Technical validation of real-world monitoring of gait: a multicentric observational study
title_fullStr Technical validation of real-world monitoring of gait: a multicentric observational study
title_full_unstemmed Technical validation of real-world monitoring of gait: a multicentric observational study
title_short Technical validation of real-world monitoring of gait: a multicentric observational study
title_sort technical validation of real-world monitoring of gait: a multicentric observational study
topic Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640671/
https://www.ncbi.nlm.nih.gov/pubmed/34857567
http://dx.doi.org/10.1136/bmjopen-2021-050785
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