Self-Supervised Masked Gait Modeling: An Explainable Low-Resource Learning Approach for Parkinson’s Disease Detection

The application of deep learning to Vertical Ground Reaction Force (VGRF) signals presents considerable potential for the automated diagnosis of Parkinson’s Disease (PD). However, the scarcity of available training data poses a significant challenge, as conventional supervised learning models...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	E. Ozel
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Parkinson’s disease deep learning self-supervised learning gait analysis explainable AI masked autoencoders
Online-Zugang:	https://ieeexplore.ieee.org/document/11538196/
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!