Kernel Dimensionality Has Limited Impact on Generalizability of CNN-Based Neural Drive Estimation from HD-sEMG
Jirui Fu, Helen J. Huang, Yue Wen
This study evaluates how kernel dimensionality in CNNs affects neural drive estimation from HD-sEMG, finding that 2D CNNs offer the best balance of accuracy and efficiency.
bioRxiv · Jul 10, 2026 · PreprintNeuroscience