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Muscle synergies for evaluating upper limb in clinical applications: A systematic review
K Zhao, Z Zhang, H Wen, B Liu, J Li, A d'Avella… - Heliyon, 2023 - cell.com
Introduction Muscle synergies have been proposed as a strategy employed by the central
nervous system to control movements. Muscle synergy analysis is a well-established …
nervous system to control movements. Muscle synergy analysis is a well-established …
Dep-rl: Embodied exploration for reinforcement learning in overactuated and musculoskeletal systems
P Schumacher, D Häufle, D Büchler, S Schmitt… - ar** review on EMG processing and synergy-based results in muscle synergy studies in Parkinson's disease
V Lanzani, C Brambilla, A Scano - Frontiers in Bioengineering and …, 2025 - frontiersin.org
Introduction Parkinson's Disease is the second most common neurodegenerative disease in
the world. It affects mainly people over 65 and the incidence increases with age. It is …
the world. It affects mainly people over 65 and the incidence increases with age. It is …
[HTML][HTML] SynergyAnalyzer: A Matlab toolbox implementing mixed-matrix factorization to identify kinematic-muscular synergies
M Russo, A Scano, C Brambilla, A d'Avella - Computer Methods and …, 2024 - Elsevier
Background and Objective A new direction in the study of motor control was opened about
two decades ago with the introduction of a model for the generation of motor commands as …
two decades ago with the introduction of a model for the generation of motor commands as …
Analysis of muscle synergies and muscle network in sling exercise rehabilitation technique
X Li, G Xu, L Li, Z Hao, WLA Lo, C Wang - Computers in Biology and …, 2024 - Elsevier
The study assessed motor control strategies across the four sling exercises of supine sling
exercise (SSE), prone sling exercise (PSE), left side-lying sling exercise (LLSE), and right …
exercise (SSE), prone sling exercise (PSE), left side-lying sling exercise (LLSE), and right …
DynSyn: dynamical synergistic representation for efficient learning and control in overactuated embodied systems
Learning an effective policy to control high-dimensional, overactuated systems is a
significant challenge for deep reinforcement learning algorithms. Such control scenarios are …
significant challenge for deep reinforcement learning algorithms. Such control scenarios are …
Muscle synergies and muscle networks in multiple frequency components in post-stroke patients
As a neural control strategy employed by the central nervous system to control movements,
the extraction of muscle synergies from a broad range of electromyographic signals has …
the extraction of muscle synergies from a broad range of electromyographic signals has …
Evidence of synergy coordination patterns of upper-limb motor control in stroke patients with mild and moderate impairment
Objectives: Previous studies showed that the central nervous system (CNS) controls
movements by recruiting a low-dimensional set of modules, usually referred to as muscle …
movements by recruiting a low-dimensional set of modules, usually referred to as muscle …
Using different matrix factorization approaches to identify muscle synergy in stroke survivors
Y Ma, S Ye, D Zhao, X Liu, L Cao, H Zhou, G Zuo… - Medical Engineering & …, 2023 - Elsevier
Over the past several decades, many scholars have investigated muscle synergy as a
promising tool for evaluating motor function. However, it is challenging to obtain favorable …
promising tool for evaluating motor function. However, it is challenging to obtain favorable …
Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography from the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction
Post-stroke upper limb dysfunction severely impacts patients' daily life quality. Utilizing
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …