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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jul 24, 2021
Open Peer Review Period: Jul 24, 2021 - Sep 18, 2021
Date Accepted: Oct 29, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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 D, Corteval A, Favreau JM, Bergeret E, Samalin L, Costes F, Toumani F, Duale C, Pereira B, Ecahlier A, Fearnbach N, Duclos M, Tournadre A

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

J Med Internet Res 2022;24(1):e32362

DOI: 10.2196/32362

PMID: 35029537

PMCID: 8800083

Fine detection of human motion during activities of daily living as a clinical indicator for the detection and early treatment of chronic disease: The E-Mob project

  • David Thivel; 
  • Alice Corteval; 
  • Jean-Marie Favreau; 
  • Emmanuel Bergeret; 
  • Ludovic Samalin; 
  • Frederic Costes; 
  • Farouk Toumani; 
  • Christian Duale; 
  • Bruno Pereira; 
  • Alain Ecahlier; 
  • Nicole Fearnbach; 
  • Martine Duclos; 
  • Anne Tournadre

ABSTRACT

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 disease. The present perspective paper highlights the need for more developed and sophisticated tools to better identify and track the decomposition, structuration, and sequencing of humans’ daily movements. The primary goal is to provide a reliable and useful clinical diagnostic and predictive indicator of the stage and evolution of chronic diseases, to prevent related comorbidities and complications among patients.


 Citation

Please cite as:

Thivel D, Corteval A, Favreau JM, Bergeret E, Samalin L, Costes F, Toumani F, Duale C, Pereira B, Ecahlier A, Fearnbach N, Duclos M, Tournadre A

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

J Med Internet Res 2022;24(1):e32362

DOI: 10.2196/32362

PMID: 35029537

PMCID: 8800083

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