Background and objective: Motor diagnosis, monitoring and management of Parkinson’s disease (PD) focuses mainly on observational methods and, clinical scales, resulting in a subjective evaluation. Inertial sensors combined with artificial intelligence have emerged as a promising solution to help physicians perform early, differential, and objective quantification of motor symptoms over time. We hypothesize that...
Background: Postural instability is considered one of the most incapacitating motor symptoms and a primary cause of falls in Parkinson’s disease (PD), compromising patients’ autonomy and well-being. The traditional clinical examination used to evaluate this symptom designed by pull test is difficult to standardize and is not sensitive to subtle but significant postural changes. Inertial measurement units have e...