Muscle activation and electromyography studies

Predictive Control of Musculotendon Loads Across Fast and Slow-twitch Muscles in a Simulated System with Parallel Actuation

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.

The Impact of Excessive Muscle Co-contraction on Sit-to-Stand Performance in High-Heeled Footwear

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.

Mapping Grip Force to Muscular Activity Towards Understanding Upper Limb Musculoskeletal Intent using a Novel Grip Strength Model

This paper evaluates a grip strength model that estimates sEMG from force measurements, showing low error and minimal impact on muscle activation optimization in upper limb tasks.

ROLE OF FORELIMB MORPHOLOGY IN MUSCLE SENSORIMOTOR FUNCTIONS DURING LOCOMOTION IN THE CAT

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.

Muscle length modulates recurrent inhibition and post-activation depression differently according to contraction type

This study investigates how muscle length affects recurrent inhibition and post-activation depression during different contraction types in soleus muscles.

The identification of extensive samples of motor units in human muscles reveals diverse effects of neuromodulatory inputs on the rate coding

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

Estimating descending activation patterns from EMG in fast and slow movements using a model of the stretch reflex

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.

An Investigation into Mechanomyography for Signal Extraction and Classification of Human Lower Limb Activity

This paper uses FMD to isolate MMG signals from ACC data and develops a TCN-Attention model for classifying lower limb activities with 98.44% accuracy.

Towards Wearable Electromyography for Personalized Musculoskeletal Trunk Models using an Inverse Synergy-based Approach

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.

Residual force enhancement decreases when scaling from the single muscle fibre to joint level in humans

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.

Non-Homogeneous Distribution of Inhibitory Inputs Among Motor Units in Response to Nociceptive Stimulation

The paper investigates how inhibitory inputs to motor units vary during nociceptive stimulation and finds non-homogeneous inhibition patterns that are size-independent.

The effect of head orientation on vestibular signal-based modulation of paraspinal muscle activity during walking

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.

I-Spin live: An open-source software based on blind-source separation for real-time decoding of motor unit activity in humans

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.

Evaluation of HD-sEMG descriptor sensitivity to changes of anatomical and neural properties with aging : A simulation study

Fascicle stretch during partial muscle deactivation does not enhance the human tibialis anterior's subsequent neuromechanical output

This study investigates whether fascicle stretch during partial muscle deactivation enhances neuromechanical output in the tibialis anterior, finding no significant effect on muscle activity but reduced torque steadiness after large stretch amplitudes.

Muscle synergies to reduce the number of electromyography channels in neuromusculoskeletal modelling: a pilot study

The paper explores using muscle synergies to reduce the number of sEMG channels needed for neuromusculoskeletal modeling, using experimental data for calibration and testing.

Big Data in Myoelectric Control: LargeMulti-User Models Enable Robust Zero-ShotEMG-based Discrete Gesture Recognition

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.

Modeling Sensorimotor Processing with Physics-Informed Neural Networks

This paper develops a physics-informed neural network model to simulate muscle spindle function, validated across species and datasets, revealing key drivers of variability in proprioceptive responses.

On the rate-limiting dynamics of force development in muscle

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.

Control limitations in the null-space of the wrist muscle system

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.

Local muscle pressure stimulates the principal receptors for proprioception

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

The volitional control of individual motor units is constrained within low-dimensional neural manifolds by common inputs

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.

Deactivation and Collective Phasic Muscular Tuning for Pointing Direction: Insights from Machine Learning

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.

Dissociation between biomechanical stiffness and sEMG activity in trapezius and lumbar skeletal muscles in steady postures

The paper examines the relationship between muscle stiffness and sEMG activity in trapezius and lumbar muscles during different postures, finding no significant correlation between stiffness and neuromuscular activity in the lumbar region.

Model-based deconvolution of a force signal to estimate motor unit twitch parameters under low, moderate and high force isometric contractions

This paper develops a model-based deconvolution method to estimate motor unit twitch parameters across different force levels, showing it can provide accurate estimates despite signal noise and missed firings.

Tutorial on MUedit: An open-source software for identifying and analysing the discharge timing of motor units from electromyographic signals

The paper introduces MUedit, an open-source software for decomposing EMG signals and analyzing motor unit discharge timing, with simulated and experimental data for benchmarking.

A multifaceted suite of metrics for comparative myoelectric prosthesis controller research

This paper introduces a new set of evaluation metrics for myoelectric prosthesis controllers and demonstrates their use in comparing deep learning and traditional controllers.

Muscle contractile properties directly influence shared synaptic inputs to spinal motor neurons

This study examines how muscle length affects synaptic oscillations and force output in motor neurons, finding reduced alpha band oscillations with increased muscle length.

Magnetomyography: A novel modality for non-invasive muscle sensing

This paper investigates magnetomyography (MMG) by simultaneously recording it with surface electromyography (sEMG) during muscle contractions, finding linear correlation with contraction intensity and differences in frequency content.

Adaptive HD-sEMG decomposition: Towards robust real-time decoding of neural drive

This study develops an adaptive real-time algorithm for decoding motor unit activity from HD-sEMG and shows it outperforms static methods under changing contraction conditions.