Overall, digital phenotyping might not only facilitate a more personalized approach in clinical neurology but also lead to the generation of large and comprehensive datasets for identifying rare and common phenotypic patterns, which might enable the early diagnosis or even prevention of disease. ![]() Remote assessment can be conducted at any time and the patient can be continuously monitored at home, which improves both the capture of comprehensive changes and the evaluation of intervention efficacy. The use of digital technology to record clinical signs (such as gait parameters, balance, movement speed and amplitude or the presence of tremor), biomarkers (such as oxygen level, heart rate and electrocardiographic characteristics), and behaviours (such as physical activity and sleep) is a feasible, objective, qualitative and precise way of obtaining real-life patient data, because collection is performed in the person’s natural environment and during their routine activities.
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