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 - Archive ouverte HAL
Article Dans Une Revue Journal of Medical Internet Research Année : 2022

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

Alice Corteval
Alain Eschalier
Nicole Fearnbach
Martine Duclos

Résumé

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.

Dates et versions

hal-04744386 , version 1 (18-10-2024)

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David Thivel, Alice Corteval, Jean-Marie Favreau, Emmanuel Bergeret, Ludovic Samalin, et al.. 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. Journal of Medical Internet Research, 2022, 24 (1), pp.e32362. ⟨10.2196/32362⟩. ⟨hal-04744386⟩
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