Using Machine Learning and Accelerometry Data for Differential Diagnosis of Parkinson’s Disease and Essential Tremor

Parkinson’s disease (PD) and Essential Tremor (ET) are the most common tremor syndromes in the world. Currently, a specific Single Photon Emission Computed Tomography (123I-FP-CIT SPECT) has proven to be an effective tool for the diagnosis of these diseases (97% sensitivity and 100% specificity). Ho...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Loaiza Duque, Julián D., González-Vargas, Andrés M., Sánchez Egea, Antonio J., González Rojas, Hermán A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accelerometry Aplicacions de la informàtica Aprenentatge automàtic Enginyeria biomèdica Essential Tremor Informàtica Machine Learning Parkinson, Malaltia de Parkinson’s Disease Wearable device Àrees temàtiques de la UPC
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!