The goal of this observational study is to define digital biomarkers of motor symptoms in Parkinson's disease patients using wearable devices. The main questions it aims to answer is: * Is there a biomarkers that allows the identification of PD from healthy controls? * Is there a biomarkers that can identify the severity of the disease? * Is there a biomarkers with clinical and therapeutic application that can be used in clinical and free living conditions to monitor the evolution of the disease? Participants have to perform a set of guided exercises related to the MDS-UPDRS guide and daily living tasks, in supervised and unsupervised conditions.
The participants must perform a set of exercises related to the MDS-UPDRS III scale and some free-living activities. These tasks must be performed wearing a smartwatch. The activities will be done in supervised clinical and unsupervised free-living environments. The participants must perfom a baseline and a final assesment in supervised conditions and a week of free living monitoring.
Study Type
OBSERVATIONAL
Enrollment
40
Universidad Politécnica de Madrid
Madrid, Madrid, Spain
Biomarkers for the identification of PD patients
A set of biomarkers will be defined for the identification of PD patients by comparing their data with that of healthy subjects.
Time frame: 1 year
biomarkers for the prediction MDS-UPDRS scores in PD patients
A collection of biomarkers will be calculated to predict MDS-UPDRS scores in PD patients
Time frame: 1 year
Biomarkers in supervised and unsupervised conditions
A comparation between the biomarkers defined in supervised settings versus those defined in free-living environments.
Time frame: 1 year
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