3 papers
q-bio.QM2026
High Reconstruction Quality and Restart Repeatability Do Not Guarantee Recovery of Ground-Truth Muscle Synergies
Ye Ma, Dongwei Liu, Meijin Hou +1
High reconstruction quality and agreement across repeated fits do not necessarily establish recovery of muscle synergies. We tested whether a variance-accounted-for (VAF)/elbow rul…
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…