3 papers
q-bio.QM2026
Reconstruction quality and restart repeatability are insufficient indicators of muscle synergy recovery by nonnegative matrix factorisation
Ye Ma, Dongwei Liu, Meijin Hou +1
Muscle-synergy studies use factorisation methods such as nonnegative matrix factorisation (NMF) to extract muscle synergies from surface electromyography (sEMG). Reconstruction qua…
eess.SP2026
From Continuous sEMG Signals to Discrete Muscle State Tokens: A Robust and Interpretable Representation Framework
Yuepeng Chen, Kaili Zheng, Ji Wu +5
Surface electromyography (sEMG) signals exhibit substantial inter-subject variability and are highly susceptible to noise, posing challenges for robust and interpretable decoding.…
q-bio.QM2025
Muscle Synergy Patterns During Running: Coordinative Mechanisms From a Neuromechanical Perspective
Ye Ma, Shixin Lin, Shengxing Fu +4
Running is a fundamental form of human locomotion and a key task for evaluating neuromuscular control and lower-limb coordination. In recent years, muscle synergy analysis based on…