Clinical Research Directory

A Vision-Based Characterization of Human Movement Scaling in Large-Amplitude Tasks

This pilot study investigates the feasibility of objectively quantifying movement amplitude and amplitude decay during large-amplitude exercises using RGB camera-based video analysis in healthy volunteers. Six large-amplitude exercises are recorded across repeated trials, with the first repetition clinically confirmed as the individual's maximum reference. Movement amplitude is quantified using pose-based kinematic measures and complemented by an exploratory self-supervised visual transformer approach to characterize repetition-wise changes relative to the reference execution. The study aims to determine whether camera-based methods can detect amplitude decay patterns and identify moments requiring clinical verbal cues, thereby supporting future objective monitoring and feedback in large-amplitude exercise training.

Association of a Digital Signature of Physical Activity and Sedentary Lifestyle With the Development of Multimorbidities in Chronic Diseases (eMOB)

Physical activity (PA) and sedentary lifestyle are determinants in the development of chronic diseases and associated quality of life alterations. PA levels are correlated with quality of life and morbidity in chronic lung disease (COPD), cardiovascular disease, diabetes, cancer, chronic inflammatory rheumatism, fibromyalgia and anxiety disorders. In these diseases, low-intensity PA often represents the main PA and the quantity of PA is correlated with health parameters. This study aims to identify a typical profile (signature) in relation to the appearance of other chronic diseases, complications of your disease, from recording your physical activity and sedentary lifestyle by sensors evaluating very precisely the movements and taking into account the characteristics and disability related to your disease. The results of this study would therefore make it possible to identify this signature even before the appearance of complications or other diseases.

The Effect of Health Education Based Laughter Yoga Applied to Adolescents on Stress and Digital Gaming Habits

Adolescents may turn to digital games as a coping mechanism for stress, which can lead to addiction and various health problems. School-based health education and laughter yoga are promising interventions for reducing stress and promoting healthy behaviors. This randomized controlled trial with a Solomon four-group design aims to evaluate the effects of health education and laughter yoga on stress levels and digital game habits among adolescents. Study Hypotheses: H0-1: Health education and laughter yoga have no effect on adolescent stress. H1-1: Health education and laughter yoga reduce adolescent stress. H0-2: Health education and laughter yoga do not affect digital game habits. H1-2: Health education and laughter yoga reduce digital game habits.

Enabling Women with Parkinson's Disease to Identify and Better Manage Hormonal Triggers of Parkinsonian Symptoms

Forty percent of people living worldwide with Parkinson's disease (PD) are women. Twenty percent of patients have PD onset under the age of 60 years, a time when women may encounter significant caregiving responsibilities along with occupational and other competing demands. Studies with surveys of women with PD (WwPD) have reported worsening of PDrelated symptoms especially in the week prior and the week of menses. However, prospective evidence is scarce and clinical guidelines to manage this issue do not exist. As a result, care is either non-existent or fragmented. The investigators propose a French multicentre prospective pilot study to capture changes in PD symptoms in relation to the stages of the menstrual cycle aiming at reducing hormonal related worsening in PD symptoms through neurologist intervention and/or patient selfmanagement. Digital technology will remotely enable patient reported outcome (PRO) tracking through the My Moves Matter app changes in PD symptoms during several months. This information will then help neurologists to customize treatment. Changes in motor symptoms will also be highlighted by tracking through the use of a wearable device (PDMonitor) to objectively detect motor changes together with the app. This will further support the reliability of the app. This study will provide evidence for the impact of the menstrual cycle on PD and help neurologists and patients to better manage PD symptoms related to these hormonal changes.

3D Evaluation of the Lip Support in a Full-arch Implant-supported Rehabilitations

The goal of this observational study is to evaluate the impact of a full arch implant-supported prostheses in the lip support. In a complex rehabilitation cases, the process between the diagnosis and the delivery of a prostheses may lead with many clinical and laboratorial choices which influence the final design of the prosthetic work and consequently the facial profile of the patient. The use of 3D facial scanners and advanced superimposition methodology allows the investigators to objectively measure several relevant parameters such as vertical occlusion of dimension and lip support.