Sway frequencies may predict postural instability in Parkinson’s disease: a novel convolutional neural network approach

Sway frequencies may predict postural instability in Parkinson’s disease: a novel convolutional neural network approach

Abstract Background Postural instability greatly reduces quality of life in people with Parkinson’s disease (PD). Early and objective detection of postural impairments is crucial to facilitate interventions. Our aim was to use a convolutional neural network (CNN) to differentiate people with early t...

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Bibliographic Details
Main Authors: David Engel, R. Stefan Greulich, Alberto Parola, Kaleb Vinehout, Justus Student, Josefine Waldthaler, Lars Timmermann, Frank Bremmer
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Parkinson’s disease
Postural instability
Body sway
Center of pressure
Center of mass
Frequency analysis
Online Access:https://doi.org/10.1186/s12984-025-01570-7
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https://doi.org/10.1186/s12984-025-01570-7

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