Gait Analysis Parameter and Upper Limb Evaluation in Control Participants

Rare diseases, though individually uncommon, collectively affect approximately 5% of the European population, with many presenting neurological symptoms and significant societal burden. Clinical trials in this field face challenges such as small sample sizes and subjective outcome measures. To address these limitations, wearable technologies like Syde® and ActiMyo® have been developed to objectively quantify motor function using inertial sensors. The Syde® device, worn on the wrist and ankle(s), continuously records upper- and lower-limb movements. One of its key metrics, the 95th percentile of stride velocity (SV95C), has been endorsed by the European Medicines Agency as a valid primary outcome in Duchenne Muscular Dystrophy (DMD) trials. Syde® has also been used in studies involving Spinal Muscular Atrophy (SMA), Angelman Syndrome, Facioscapulohumeral Muscular Dystrophy (FSHD), and other neurological conditions, as well as in healthy controls under 20 years old. To further validate digital outcome measures, normative data across all age groups is essential. The ActiControl study will enroll 200 healthy volunteers (approximately 20 per decade from ages 0 to 90), ensuring balanced representation by gender, ethnicity, and socioeconomic status. All study procedures are conducted remotely. Participants are recruited and enrolled electronically, including remote signing of the informed consent form. Demographic and health data (e.g., age, sex, height, weight) are collected via phone or video call at inclusion and every 6 months for 2 years. Participants will wear the Syde® device for 3 weeks at five timepoints (baseline, 6, 12, 18, and 24 months). Primary objectives include: Building a longitudinal dataset of Syde® digital variables. Assessing adherence and acceptability of the device across age groups. Secondary objectives include: Evaluating the reliability of Syde®-derived variables. Investigating the influence of demographic and lifestyle factors (e.g., age, gender, BMI, physical activity, seasonality) on digital endpoints. Outcome measures include stride velocity, stride length, walking time, step asymmetry, stair climbing metrics, and more. This study will contribute to the establishment of robust normative data, enabling more accurate interpretation of digital biomarkers in future clinical trials for rare and neurological diseases.