Muscle activation and electromyography studies

Sex differences in central and peripheral fatigue induced by sustained isometric ankle plantar flexion

This study examines sex differences in central and peripheral fatigue during sustained isometric ankle plantar flexion, finding similar fatigue mechanisms between males and females despite greater fatigability in males.

Sex-specific tuning of modular muscle activation patterns for locomotion in young and older adults

This study examines sex-specific differences in muscle activation patterns during locomotion in young and older adults using muscle synergies.

Firing behavior of single motor neurons of the tibialis anterior in human walking as non-invasively revealed by HDsEMG decomposition

This study uses HDsEMG decomposition to analyze motor neuron firing patterns in the tibialis anterior during human walking, revealing synchronization and task-specific modulation.

Estimating muscle activation from EMG using deep learning-based dynamical systems models

This paper uses a deep learning model to estimate muscle activation from EMG signals, showing improved performance over traditional methods in predicting joint kinematics and force.

Post-activation depression produces extensor H-reflex suppression following flexor afferent conditioning

The paper investigates the mechanism of extensor H-reflex suppression by flexor afferent conditioning, finding it results from post-activation depression of Ia-afferents and long-lasting inhibition of motoneurons, not direct presynaptic inhibition.

EEG-Based Spectral Analysis ShowingBrainwave Changes Related to ModulatingProgressive Fatigue During a ProlongedIntermittent Motor Task

This study uses EEG to analyze brainwave changes during a prolonged intermittent motor task, showing variations in theta, alpha, and beta power spectral densities related to increasing fatigue levels.

Shoulder muscle recruitment of small amplitude motor units during the delay period encodes a reach movement plan which is sensitive to task context

The paper examines motor unit activity during the delay period and finds early recruitment of small-amplitude motor units that predict movement onset, with differences observed between hand movements and isometric tasks.

Common synaptic inputs are not distributed homogeneously among the motor neurons that innervate synergistic muscles

The study identifies two neural modules underlying motor unit discharge rates in synergistic muscles, showing heterogeneous distribution of common synaptic inputs among motor neurons.

Corticospinal excitability remains unchanged in the presence of residual force enhancement and does not contribute to increased torque production

This study investigates whether corticospinal excitability changes during residual force enhancement and finds no significant differences between stretch-hold and fixed-end contractions.

Real-time decoding of 5 finger movements from 2 EMG channels for mixed reality human-computer interaction

This paper decodes 5 finger movements from 2 EMG channels with 94% accuracy using kNN and demonstrates real-time application in VR for HCI.

Solving musculoskeletal biomechanics with machine learning

This paper applies machine learning to model musculoskeletal transformations in the human arm and hand, showing that both gradient boosting and neural networks can accurately predict muscle length and moment arm relationships.

MuscleNET: Mapping Electromyography to kinematic and dynamic biomechanical variables by machine learning

This paper develops MuscleNET, a machine learning framework that maps sEMG signals to biomechanical variables, showing real-time performance and effectiveness in motor control applications.

The presence of corticomuscular coherence during unipedal stance

This study examines corticomuscular coherence during unipedal stance and finds increased cortical control of muscle activity compared to bipedal stance.

Investigation of the temporal and spatial dynamics of muscular action potentials through optically pumped magnetometers.

This study records magnetic and electric fields during a muscle reflex to analyze action potential dynamics and muscle structure.

Perception of effort during an isometric contraction is influenced by prior muscle lengthening or shortening

This study investigates how prior muscle lengthening or shortening affects perception of effort during isometric contractions, finding that effort perception varies with torque and EMG levels.

Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

The paper assesses inter-operator reliability in decomposing HDsEMG into motor unit spike trains, finding high agreement across operators.

Neuro-musculoskeletal Upper Limb in-silico asvirtual patient

This paper presents a modular neuro-musculoskeletal upper limb in-silico model that generates movement through co-simulation of neural and musculoskeletal systems.

A Neural Circuit Model of Proprioceptive Feedback from Muscles Recruited during an Isometric Knee Extension

The paper develops a computational spinal motor circuit model to study proprioceptive feedback during isometric knee extension, showing that muscle synergy patterns arise from spinal circuitry and proprioceptive input.

Effect of synchronization of firings of different motor unit types on the force variability in a model of the rat medial gastrocnemius muscle

This study uses a mathematical model of rat muscle to show that increased synchronization of motor unit firings increases force variability, with slow motor units contributing most to tremor during weak contractions.

Non-invasive real-time access to the output of the spinal cord via a wrist wearable interface

This paper presents a non-invasive wrist wearable interface that decodes spinal motoneuron activity to predict finger movements with high accuracy in real-time.

Persistent Inward Currents Increase With The Level Of Voluntary Drive In Plantar Flexor Low-Threshold Motor Units

This study shows that persistent inward currents (PICs) in human plantar flexor motor units increase with voluntary drive during isometric contractions.

Why humans are stronger but not faster after isometric strength training: specific neural, not muscular, motor unit adaptations

This study shows that isometric strength training increases maximal force but not rate of force development (RFD) due to unchanged motor unit recruitment speed, despite increased discharge rates during plateau phases.

Artificial Joint Speed Feedback for Myoelectric Prosthesis Control

This study tests an artificial sensory feedback system providing joint speed information for myoelectric prosthesis control and finds modest improvements in reaching errors after perturbed control.

Revealing the unique features of each individual her/his muscle activation signatures

This study identifies individual muscle activation signatures using EMG data and shows their consistency across tasks and days.

Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics

This paper develops a biophysical model showing how muscle spindle afferent firing patterns emerge from muscle mechanics and neuromechanical interactions.

The effect of perturbation magnitude on lower limb muscle activity during reactive stepping using functional data analysis

This study uses functional data analysis to show that larger perturbations increase lower limb muscle activation during reactive stepping compared to smaller perturbations.

Muscle activation patterns are more constrained and regular in treadmill than in overground human locomotion

This study compares muscle activation patterns during treadmill and overground locomotion, finding that treadmill movement results in more regular and temporally shifted motor primitives.

Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them

This paper investigates pitfalls in fractal analysis of EMG data during mouse locomotion and provides recommendations to avoid misinterpretation of Higuchis fractal dimension and Hurst exponent.

DO MUSCLE SYNERGIES IMPROVE OPTIMIZATION PREDICTION OF MUSCLE ACTIVATIONS DURING GAIT?

This study evaluates if incorporating muscle synergies into static optimization improves muscle activation predictions during gait, finding no improvement but noting potential benefits for control applications.

Errors in Predicting Muscle Fiber Lengths from Joint Kinematics Point to the Need to Include Tendon Tension in Computational Neuromuscular Models