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The Restless Legs Syndrome (RLS) is a sensorimotor disorder better characterized by an urge to move the legs at rest. Although treatments are available, many patients experience periods of symptoms relief and exacerbation. Whether this is due to the natural history of the disease or to health-related behaviors of daily life is presently unknown. The primary objective is to examine the feasibility of mobile technology to assess RLS symptoms severity fluctuations in daily life by collecting real-time data. The secondary objectives will be to examine the validity of this technic in the context of RLS and to use these real-time data to identify daily life risk factors for symptom onset or aggravation.
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