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Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease

IntroductionFreezing of gait (FOG) is one of the most debilitating motor symptoms experienced by patients with Parkinson’s disease (PD). FOG detection is possible using acceleration data from wearable sensors, and a convolutional neural network (CNN) is often used to determine the presence of FOG ep...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Emilie Charlotte Klaver, Irene B. Heijink, Gianluigi Silvestri, Jeroen P. P. van Vugt, Sabine Janssen, Jorik Nonnekes, Richard J. A. van Wezel, Marleen C. Tjepkema-Cloostermans
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-12-01
Schriftenreihe:Frontiers in Neurology
Schlagworte:
Parkinson’s disease
freezing of gait
wearable sensors
accelerometer
convolutional neural network
InceptionTime
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fneur.2023.1306129/full
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