Cross-Patch Guided Reconstruction With Graph Contrastive Learning for Smartphone-Based Early Parkinson’s Disease Detection
Self-supervised learning for time-series data has broad application potential in smartphone-based early disease detection. However, time-series data often exhibit complex dynamic patterns and spatiotemporal correlations. These characteristics make it difficult to capture discriminative features and reconstruct local fe...