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

• Κύριοι συγγραφείς: David Thivel (Συγγραφέας), Alice Corteval (Συγγραφέας), Jean-Marie Favreau (Συγγραφέας), Emmanuel Bergeret (Συγγραφέας), Ludovic Samalin (Συγγραφέας), Frédéric Costes (Συγγραφέας), Farouk Toumani (Συγγραφέας), Christian Dualé (Συγγραφέας), Bruno Pereira (Συγγραφέας), Alain Eschalier (Συγγραφέας), Nicole Fearnbach (Συγγραφέας), Martine Duclos (Συγγραφέας), Anne Tournadre (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: JMIR Publications, 2022-01-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

Περίληψη

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.

Περιγραφή τεκμηρίου

1438-8871
10.2196/32362