Muscle activation and electromyography studies

The paper collects and visualizes 300 muscle moment arm datasets to explore hip, knee, and ankle moment arm-joint angle relations.

This study examines bilateral neuromuscular adaptation after unilateral resistance exercise in older adults, finding reduced MVC in both legs but no change in MU potentials in the non-exercised limb.

This study reviews EEG-EMG connectivity during gait, finding significant neuromuscular connectivity in healthy individuals and its modulation by task demands and pathology.

This study simulates how different motor unit pool models affect force generation in muscles during static and dynamic tasks, finding that feedback improves performance, especially for physiologically relevant models.

This study examines motor unit control flexibility by analyzing dimensionality of motor unit activity in two muscles, finding that while some muscles exhibit multidimensional manifolds, their control remains limited.

This study uses physiologically-based muscle models to predict in vivo skeletal muscle energetics and finds they capture general features but underpredict energetic cost magnitude.

This paper introduces a self-calibrating random forest model for myoelectric control that improves performance over time with minimal data and user adaptation.

The paper compares sigmoidal models for fitting transspinal evoked potential recruitment curves from soleus and tibialis anterior muscles, identifying optimal models for each.

This paper introduces a closed-loop control framework using NMPC to regulate musculotendon forces in simulated ankle plantarflexors, achieving fast and robust force control across different muscle fiber types.

This study examines how muscle co-contraction affects sit-to-stand performance in women wearing high-heeled shoes, finding that increased co-contraction leads to compensatory strategies that may cause imbalance and fatigue.

This study examines how forelimb muscle morphology in cats influences sensorimotor functions during locomotion, finding that muscle structure affects force and sensory signals related to lateral stability and turning.

The paper analyzes motor unit firing rates during isometric contractions to show diverse rate coding patterns across motor unit pools.

This study estimates descending activation patterns from EMG during human arm movements using a spinal stretch reflex model, revealing distinct temporal features in slow and fast movements.

This paper introduces an EMG sensor reduction method using inverse synergy extrapolation to reconstruct unmeasured signals for trunk musculoskeletal models, achieving high accuracy with minimal sensors.

This paper assesses musculoskeletal model deformation and Hill-type muscle parameter validity using strain injury metrics in two simulations involving the THUMS AM50 and gait2354 models.

This paper compares SynX and SO methods for estimating missing EMG signals and muscle forces during walking, finding SynX provides more accurate results.

This study compares residual force enhancement (rFE) at the single fibre and joint levels in humans, finding greater rFE at the single fibre level and non-responder phenomena only at the joint level.

This study examines how head orientation affects vestibular signal modulation of paraspinal muscle activity during walking, finding reduced coherence and gain in leftward head orientation.

This study evaluates decoding algorithms for identifying motor unit discharges from ultrasound images under non-ideal conditions, finding they remain accurate despite varying twitch shapes and fusion.

The paper introduces an open-source software for real-time decoding of motor unit activity from EMG signals using blind-source separation, validated on synthetic and real data from human lower limb muscles.

This paper demonstrates that large-scale EMG datasets enable zero-shot cross-user myoelectric control with high accuracy, challenging the need for user-specific models.

The paper develops a new muscle model that integrates force development dynamics, finding that conventional processes cannot explain force production speed, and proposes 'force facilitation dynamics' as a key rate-limiting factor.

This study investigates the ability to control muscle activation in the null-space of the wrist system for movement augmentation, finding limitations in null-space control but capability in concurrent force and co-contraction control.

This study shows that local muscle pressure stimulates human muscle spindles in isometric conditions and enhances their responses during stretch.

This study examines how voluntary co-contraction of ankle muscles affects motor unit discharge and reduces persistent inward currents (PICs) in motoneurons.

The paper introduces a new phase estimation method for signals with one main oscillatory component, tested on synthetic and real-world data.

ArborSim constructs musculoskeletal models of complex jointed structures with branching muscle-tendon architectures, revealing that branching affects kinematics more than parallel structures.

This study investigates the dimensionality of motor unit control during isometric contractions, finding that motor units are constrained by common inputs and form synergistic groups.

The paper uses machine learning to analyze multimuscle activity during pointing movements, revealing modular tuning of muscles to direction and the role of deactivation in reducing effort.

This paper uses Bayesian methods to model muscle activation patterns during motion, comparing prior models with observed data to understand how the musculoskeletal system selects activation strategies.