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Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson’s Disease Using Machine Learning

Wearable sensors could be beneficial for the continuous quantification of upper limb motor symptoms in people with Parkinson’s disease (PD). This work evaluates the use of two inertial measurement units combined with supervised machine learning models to classify and predict a subset of MDS-UPDRS II...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Rene Peter Bremm, Lukas Pavelka, Maria Moscardo Garcia, Laurent Mombaerts, Rejko Krüger, Frank Hertel
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-03-01
Schriftenreihe:Sensors
Schlagworte:
Parkinson’s disease
motor symptoms
MDS-UPDRS
wearable devices
inertial measurement unit
machine learning
Online-Zugang:https://www.mdpi.com/1424-8220/24/7/2195
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