Hybrid sEMG decomposition method integrating gradient convolution kernel compensation and correlation-constrained FastICA

Abstract Surface electromyography (sEMG) decomposition is a critical technique for decoding spinal motor neuron control strategies. However, traditional decomposition methods, including the gradient convolution kernel compensation (gCKC) and the integrated FastICA-CKC framework, often suffer from de...

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Автори:	Chuang Lin, Mengfei Zhou, Ziwei Cui, Ziqi Gui, Wei Xu, Hao Sun, Ming Dai, Ning Jiang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	BMC 2026-04-01
Серія:	Journal of NeuroEngineering and Rehabilitation
Предмети:	Surface electromyography High-density electrode Motor unit decomposition Gradient convolution kernel compensation Correlation-constrained FastICA FastICA-CKC
Онлайн доступ:	https://doi.org/10.1186/s12984-026-01943-6
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