Parkinson's Disease (PD) is the neurological condition caused by the destruction and death of neurons. Nowadays, PD can not be cured and the number of the patients with the PD is continuously growing. In this work, we report a feasibility study involving 74 subjects to whom we proposed 15 exercises helping reveal the risk of PD at an early stage. In this study, we collected the data using wireless wearable sensors and perform the data analysis relying on machine learning techniques. Experimental results demonstrated that the proposed solution tested in real conditions is promising for more complex diagnostic workflow including the assessment of quality of PD therapy.

Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage

Osmani, Venet;
2020

Abstract

Parkinson's Disease (PD) is the neurological condition caused by the destruction and death of neurons. Nowadays, PD can not be cured and the number of the patients with the PD is continuously growing. In this work, we report a feasibility study involving 74 subjects to whom we proposed 15 exercises helping reveal the risk of PD at an early stage. In this study, we collected the data using wireless wearable sensors and perform the data analysis relying on machine learning techniques. Experimental results demonstrated that the proposed solution tested in real conditions is promising for more complex diagnostic workflow including the assessment of quality of PD therapy.
9781450375320
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/325579
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