Muscle activation and electromyography studies

MyoGen: Unified Biophysical Modeling of Human Neuromotor Activity and Resulting Signals

MyoGen is a unified biophysical model of human neuromotor activity that matches experimental data and enables analysis of motor control principles.

Muscle activation prediction in essential tremor through neuromusculoskeletal digital twinning and deep neural networks

This paper uses a digital twin of essential tremor to train deep neural networks for predicting muscle activation, achieving 81-83% accuracy in synthetic data.

Motor unit rate coding in intrinsic hand muscles during isolated finger contractions and pinch task

This study examines motor unit discharge rates in hand muscles during different tasks, finding task- and muscle-specific rate coding patterns.

Motor unit behaviour adaptations across the lifespan: sex differences in young, middle-aged and old adults

This study examines age- and sex-related differences in motor unit firing behavior across young, middle-aged, and older adults, revealing sex-specific neuromuscular aging patterns.

Functional Electrical Stimulation of the Soleus Redistributes Lower-Limb Joint Work Distally in Young and Older Adults

This study shows that functional electrical stimulation of the soleus muscle redistributes lower-limb joint work distally in both young and older adults, increasing ankle mechanical power and metabolic rate.

Motor unit discharge properties of the vastii muscles and their modulation with contraction level depend on the knee-joint angle

The impact of mechanical requirements on the neural control of skeletal muscle and subsequent energetic rates

This study examines how neural control and mechanical demands affect energy use in skeletal muscle during dorsiflexion contractions.

Corticospinal, reticulospinal, and motoneuronal contributions to fatigability during a sustained contraction of the elbow flexors

The paper investigates neural contributions to muscle fatigability during sustained elbow flexion, finding that motoneuron excitability decreases while corticospinal and reticulospinal tract excitability remains unchanged.

Scalability of Random Forest in Myoelectric Control

This paper explores the scalability of random forest models in myoelectric control, showing they can be reduced in size with minimal accuracy loss and benefit from higher input dimensions.

Assessing Forearm Exertion in Manual Tasks with Surface EMG: A Comparative Analysis of Through-Forearm vs. Muscle Specific EMG Placements

This study compares through-forearm and muscle-specific sEMG placements for estimating exertion and force during manual tasks, finding through-forearm sEMG provides slightly better performance.

Successful transfer of myoelectric skill from virtual interface to prosthesis control

This study demonstrates that training with a delayed feedback paradigm improves myoelectric skill retention and enables transfer to prosthesis control.

Propagation of Beta bursts from the motor cortex to the motor units of multiple upper-limb muscles

This study demonstrates beta burst propagation from the motor cortex to upper-limb motor units using HDsEMG and EEG, showing time-locking and muscle-specific synchronisation.

Benchmarking the predictive capability of human gait simulations.

This study evaluates how well simulations of human gait predict movement mechanics and metabolic power under various conditions, finding underestimation in metabolic power and identifying potential model errors.

Spinal electrophysiology reveals frequency-specific spatial patterns of neural activity and corticospinal coherence during pincer-grip

This study uses high-density electrospinography to examine frequency-specific spinal activity and cortico-spinal connectivity during pincer-grip, revealing distinct spatial patterns and beta-band activation.

Biophysical model for predicting muscle short-range stiffness during movement

This paper develops a biophysical cross-bridge model to predict muscle short-range stiffness during movement, finding that cooperative myofilament activation is essential for accurate predictions.

Automated muscle path calibration with gradient-specified optimization based on moment arm

This paper introduces a gradient-specified optimization method to calibrate muscle paths based on desired moment arms, achieving fast and accurate replication of muscle paths from a shoulder-arm model.

Accuracy of experimentally estimated muscle properties: Evaluation and improvement using a newly developed toolbox

The paper evaluates and improves methods for estimating muscle properties using simulations and experiments on rat muscles, showing that an improved method provides more accurate parameter estimates.

Human motor unit discharge patterns reveal differences in neuromodulatory and inhibitory drive to motoneurons across contraction levels

The paper investigates how neuromodulation and inhibitory patterns influence human motor unit discharge patterns across contraction forces, showing increased hysteresis and linear discharge with higher force.

Soleus H-reflex size versus stimulation rate in the presence of background muscle activity: A methodological study

This study investigates the effect of higher stimulation rates on H-reflex size during conditioning, finding no rate-dependent depression and reliable reflex values at 2 Hz.

The effect of the number motor units and their maximum firing rate in a musculoskeletal model of human reaching

The paper uses a musculoskeletal model to study how the number and maximum firing rate of motor units affect reaching performance in human upper limb movements.

Hill-type models of skeletal muscle and neuromuscular actuators: a systematic review

This paper reviews Hill-type muscle models, finding most lack innovation, proper validation, parameter identification, and reusability.

Effects of Spatial and Signal-Imposed Noises on Motor Unit Decomposition

This study evaluates how different types of noise affect motor unit decomposition using HD-sEMG, finding that global noise severely impacts results while localized noise has minimal effects.

Sensitivity of Non-Invasive Motor-Unit-Based Gesture Recognition to Signal Degradation

This study evaluates how signal degradation affects motor-unit-based gesture recognition using HMI, finding that LDA and DNN perform differently under noise and spatial perturbations.

Greater distal activation of the biceps femoris long head reflects proximodistal differences in motor unit action potential properties.

This study compares motor unit properties in proximal and distal regions of the biceps femoris long head during isometric tasks, finding greater distal activation due to action potential characteristics, not central modulation.

Task Complexity and Limb Dominance Modulate the Effects of Ageing on Neuromuscular Function

This study examines how age and limb dominance affect neuromuscular function during tasks of varying complexity, finding asymmetric adaptations in older adults.

Value-Added: Importance of Incorporating Menstrual Cycle Phases to Clarify Sex-Related Differences in Force Steadiness

This study examines how female elbow flexion force steadiness varies across menstrual cycle phases and compares it to males, finding greater variability in females during the luteal phase.

Mechanical energetic contributions of the rectus femoris during perturbed walking

This study examines the mechanical role of the rectus femoris during perturbed walking, finding partial support for hypotheses about its lengthening and energetic demand reflection.

Neuromuscular fatigue reduces responsiveness when controlling leg external forces

This study examines how neuromuscular fatigue affects the speed and accuracy of leg force control during movement.

Diurnal Modulation of Persistent Inward Current Contribution to Spinal Motor Neuron Behaviour

This study shows that persistent inward currents (PICs) in spinal motor neurons have a greater influence on discharge behavior in the late afternoon compared to the early morning.

A PAM-CNN recognition approach to Muscle Fatigue of Special Operators by sEMG signals

The paper proposes a PAM-CNN model to classify muscle fatigue using sEMG signals, achieving 95.6% accuracy in testing.