In one Parkinsonian subject, a neural network approximates the observed shift in PCA gait latent space between two sessions across six occlusal conditions.
Pattern Recognition and Machine Learning
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From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint
In one Parkinsonian subject, a neural network approximates the observed shift in PCA gait latent space between two sessions across six occlusal conditions.