Parkinson's disease motor and non motor symptoms could be traced through sensors embedded in wearables. Signals from wearables should be interpreted and made clinically available. The use of derived digital biomarkers allows the more ecological research to be used in event prediction and clinical trials even in complex settings such as neurodegenerative diseases.
From the disease phenotype to the clinical actionable information: the digital revolution of Parkinson's disease
Massimo, Marano
2022
Abstract
Parkinson's disease motor and non motor symptoms could be traced through sensors embedded in wearables. Signals from wearables should be interpreted and made clinically available. The use of derived digital biomarkers allows the more ecological research to be used in event prediction and clinical trials even in complex settings such as neurodegenerative diseases.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14242/118731
Il codice NBN di questa tesi è
URN:NBN:IT:UNICAMPUS-118731