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Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project

Methods to measure physical activity and sedentary behaviors typically quantify the amount of time devoted to these activities. Among patients with chronic diseases, these methods can provide interesting behavioral information, but generally do not capture detailed body motion and fine movement beha...

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Autores principales: Thivel, David, Corteval, Alice, Favreau, Jean-Marie, Bergeret, Emmanuel, Samalin, Ludovic, Costes, Frédéric, Toumani, Farouk, Dualé, Christian, Pereira, Bruno, Eschalier, Alain, Fearnbach, Nicole, Duclos, Martine, Tournadre, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800083/
https://www.ncbi.nlm.nih.gov/pubmed/35029537
http://dx.doi.org/10.2196/32362
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author Thivel, David
Corteval, Alice
Favreau, Jean-Marie
Bergeret, Emmanuel
Samalin, Ludovic
Costes, Frédéric
Toumani, Farouk
Dualé, Christian
Pereira, Bruno
Eschalier, Alain
Fearnbach, Nicole
Duclos, Martine
Tournadre, Anne
author_facet Thivel, David
Corteval, Alice
Favreau, Jean-Marie
Bergeret, Emmanuel
Samalin, Ludovic
Costes, Frédéric
Toumani, Farouk
Dualé, Christian
Pereira, Bruno
Eschalier, Alain
Fearnbach, Nicole
Duclos, Martine
Tournadre, Anne
author_sort Thivel, David
collection PubMed
description Methods to measure physical activity and sedentary behaviors typically quantify the amount of time devoted to these activities. Among patients with chronic diseases, these methods can provide interesting behavioral information, but generally do not capture detailed body motion and fine movement behaviors. Fine detection of motion may provide additional information about functional decline that is of clinical interest in chronic diseases. This perspective paper highlights the need for more developed and sophisticated tools to better identify and track the decomposition, structuration, and sequencing of the daily movements of humans. The primary goal is to provide a reliable and useful clinical diagnostic and predictive indicator of the stage and evolution of chronic diseases, in order to prevent related comorbidities and complications among patients.
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spelling pubmed-88000832022-02-03 Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project Thivel, David Corteval, Alice Favreau, Jean-Marie Bergeret, Emmanuel Samalin, Ludovic Costes, Frédéric Toumani, Farouk Dualé, Christian Pereira, Bruno Eschalier, Alain Fearnbach, Nicole Duclos, Martine Tournadre, Anne J Med Internet Res Viewpoint Methods to measure physical activity and sedentary behaviors typically quantify the amount of time devoted to these activities. Among patients with chronic diseases, these methods can provide interesting behavioral information, but generally do not capture detailed body motion and fine movement behaviors. Fine detection of motion may provide additional information about functional decline that is of clinical interest in chronic diseases. This perspective paper highlights the need for more developed and sophisticated tools to better identify and track the decomposition, structuration, and sequencing of the daily movements of humans. The primary goal is to provide a reliable and useful clinical diagnostic and predictive indicator of the stage and evolution of chronic diseases, in order to prevent related comorbidities and complications among patients. JMIR Publications 2022-01-14 /pmc/articles/PMC8800083/ /pubmed/35029537 http://dx.doi.org/10.2196/32362 Text en ©David Thivel, Alice Corteval, Jean-Marie Favreau, Emmanuel Bergeret, Ludovic Samalin, Frédéric Costes, Farouk Toumani, Christian Dualé, Bruno Pereira, Alain Eschalier, Nicole Fearnbach, Martine Duclos, Anne Tournadre. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.01.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Thivel, David
Corteval, Alice
Favreau, Jean-Marie
Bergeret, Emmanuel
Samalin, Ludovic
Costes, Frédéric
Toumani, Farouk
Dualé, Christian
Pereira, Bruno
Eschalier, Alain
Fearnbach, Nicole
Duclos, Martine
Tournadre, Anne
Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title_full Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title_fullStr Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title_full_unstemmed Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title_short Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project
title_sort fine detection of human motion during activities of daily living as a clinical indicator for the detection and early treatment of chronic diseases: the e-mob project
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800083/
https://www.ncbi.nlm.nih.gov/pubmed/35029537
http://dx.doi.org/10.2196/32362
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