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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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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. |
format | Online Article Text |
id | pubmed-8800083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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