How to improve the muscle synergy analysis methodology?
Muscle synergy analysis is increasingly used in domains such as neurosciences, robotics,
rehabilitation or sport sciences to analyze and better understand motor coordination. The …
rehabilitation or sport sciences to analyze and better understand motor coordination. The …
Muscle synergies for evaluating upper limb in clinical applications: A systematic review
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 …
[HTML][HTML] Muscle synergies in joystick manipulation
L Cai, S Yan, C Ouyang, T Zhang, J Zhu… - Frontiers in …, 2023 - frontiersin.org
Extracting muscle synergies from surface electromyographic signals (sEMGs) during
exercises has been widely applied to evaluate motor control strategies. This study explores …
exercises has been widely applied to evaluate motor control strategies. This study explores …
Non-negative matrix factorisation is the most appropriate method for extraction of muscle synergies in walking and running
Muscle synergies provide a simple description of a complex motor control mechanism.
Synergies are extracted from muscle activation patterns using factorisation methods. Despite …
Synergies are extracted from muscle activation patterns using factorisation methods. Despite …
A comprehensive spatial map** of muscle synergies in highly variable upper-limb movements of healthy subjects
A Scano, L Dardari, F Molteni, H Giberti… - Frontiers in …, 2019 - frontiersin.org
Background Recently, muscle synergy analysis has become a standard methodology for
extracting coordination patterns from electromyographic (EMG) signals, and for the …
extracting coordination patterns from electromyographic (EMG) signals, and for the …
Transferring sensor-based assessments to clinical practice: the case of muscle synergies
Sensor-based assessments in medical practice and rehabilitation include the measurement
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …
of physiological signals such as EEG, EMG, ECG, heart rate, and NIRS, and the recording of …
Intra-subject and inter-subject movement variability quantified with muscle synergies in upper-limb reaching movements
Quantifying movement variability is a crucial aspect for clinical and laboratory investigations
in several contexts. However, very few studies have assessed, in detail, the intra-subject …
in several contexts. However, very few studies have assessed, in detail, the intra-subject …
A multimodal approach to capture post-stroke temporal dynamics of recovery
Objective. Several training programs have been developed in the past to restore motor
functions after stroke. Their efficacy strongly relies on the possibility to assess individual …
functions after stroke. Their efficacy strongly relies on the possibility to assess individual …
Modular control of human movement during running: an open access data set
The human body is an outstandingly complex machine including around 1000 muscles and
joints acting synergistically. Yet, the coordination of the enormous amount of degrees of …
joints acting synergistically. Yet, the coordination of the enormous amount of degrees of …
Low-rank modular reinforcement learning via muscle synergy
Abstract Modular Reinforcement Learning (RL) decentralizes the control of multi-joint robots
by learning policies for each actuator. Previous work on modular RL has proven its ability to …
by learning policies for each actuator. Previous work on modular RL has proven its ability to …