# XClinic Sensors: Validating Accuracy in Measuring Range of Motion Across Trauma Conditions
## 1 Background  
Accidents and injuries are among the primary causes of long-term disability, particularly in younger individuals, significantly reducing their quality of life and productivity. Road traffic accidents, in particular, represent a critical global health challenge [1, 2, 3, 4]; [PERSON] et al., 2015 [5]. According to the World Health Organization (WHO), these incidents are the leading cause of death among individuals aged 5-29 years, and millions of survivors face lifelong disabilities. Non-fatal injuries, including fractures, spinal cord damage, and traumatic brain injuries, often lead to complex physical, psychological, and social challenges [6, 7, 8]. These outcomes not only affect individuals' quality of life but also imposeconsiderable economic and social burdens, emphasizing the importance of effective rehabilitation strategies [5; 9; 10; 11; 12].  
Musculoskeletal impairments, such as reduced joint mobility, loss of strength, and impaired coordination, are common consequences of road traffic injury. Accurate assessment of these functional deficits is essential for guiding and optimizing rehabilitation interventions. While traditional evaluation methods remain widely used, they may lack the precision required to detect subtle changes or comprehensively assess the severity of impairments [13; 14; 15]. This highlights the increasing importance of advanced instrumental assessments in rehabilitation, which provide objective, reproducible, and detailed information. These tools enable clinicians to make evidence-based decisions and design personalized treatment plans, which are particularly valuable for addressing the complex recovery needs of road traffic injury survivors [16; 17].  
XClinic sensors, developed by Ferrox, represent an innovative tool for enhancing rehabilitation assessments. These sensors are specifically designed to capture accurate measurements of joint Range of Motion (ROM), a key indicator for evaluating functional recovery in individuals with musculoskeletal trauma (\"Riabilitazione digitale per centri di fisoterapia-Ferrox\", n.d.). Their application in both clinical practice and research has demonstrated promising results in improving the precision of rehabilitation planning. Notably, the reliability and validity of the XClinic sensors were established in a 2024 study by [PERSON] et al. on healthy subjects. This prior validation supports their credibility as measurement instruments. Moreover, the article detailing this initial validation provides a comprehensive description of the sensor's usage and application methods, serving as a reference for its correct implementation in both research and clinical settings [18; 19; 20; 21].  
Nevertheless, further investigation is essential to confirm their performance in populations recovering from traumatic injuries, especially considering the high incidence of trauma resulting from road traffic accidents. Given the prevalence of such injuries, objective assessment is crucial to ensure that patients receive appropriate rehabilitation tailored to their specific needs. Validating the sensors in this context would support their use in accurately evaluating joint impairments, ultimately contributing to more effective and personalized rehabilitation interventions.