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Parkinson's disease (PD) is a detrimental neurodegenerative disease. Its assessment is often subjective, infrequent and unreliable. Smartphones and wearables allow to measure symptoms objectively and at patients' homes, but existing systems for PD usually focus on a single symptom. We have developed a low-cost, digital tool for continuous multi-dimensional remote assessment based on a mobile phone app and a smartwatch. PD patients can answer questionnaires and perform tests aimed at measuring motor and vocal symptoms. We will collect data from 40 patients to train algorithms that will extract clinically-singificant indicators. If successful, the tool may improve patients' follow-up and care.

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