Muscle activation and electromyography studies

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

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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

This study examines intermuscular coupling between tongue and palate EMG signals during swallowing, mastication, and speech, finding significant ERC peaks in all frequency bands before task onset, with beta band ERC higher for swallowing than mastication.

This study investigates how perceived time affects physical fatigue using EEG, finding that fatigue accumulates with perceived time, influenced by frontal theta and beta oscillations.

The paper develops a visualization method for joint force-velocity properties in musculoskeletal models to analyze how muscle dynamics influence movement.

This study examines neuromechanical features of high-frequency ankle oscillations in expert drummers, finding performance differences linked to muscle activation timing and proximal stabilization.

JiSuJi is a muscle model that accurately predicts force from spike trains, outperforming existing simulators in speed and accuracy for fast-contracting muscles.

This paper reviews how dynamic changes in muscle architecture during contractions affect force and power output, introducing the concept of muscle gearing as a key factor in muscle function.

This study compares motor unit discharge patterns in resistance-trained, endurance-trained, and untrained humans during contractions, finding differences in discharge rates and modulation during higher forces.

This study uses a computational model to show that serotonin modulates motoneuron excitability and muscle force generation, with physiological levels enhancing high-frequency responses while high concentrations cause fatigue.

This study uses high-density surface EMG and in silico modelling to reveal subject-specific inhibitory spinal microcircuit properties and control strategies.

This study compares muscle activation in TRX and stable-surface push-ups at different angles, finding higher pectoralis major activation in TRX push-ups and angle-specific differences in muscle engagement.

The paper uses PCA and FA to show a single low-dimensional motor unit component explains most force oscillations during repetitive isometric tasks.

The paper shows that using activation instead of excitation in optimization objectives for human movement avoids issues with rapid switching strategies in musculoskeletal trajectory optimization.

The paper shows that mechanical efficiency during sub-maximal cycling is underestimated because negative muscular power is not accounted for, leading to significant corrections in efficiency estimates.

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.

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

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.

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