ArticleFrontiers in physiology2019
Characterization of Electromechanical Delay Based on a Biophysical Multi-Scale Skeletal Muscle Model.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review and Meta-Analysis on the Longitudinal Effects of Unilateral Knee Extension Exercise on Muscle Strength.Frontiers in sports and active living · 2020Pooled it
- Wearable sensor assessment of neuromuscular latency: revealing the strength-timing trade-off in female soccer.BMC sports science, medicine & rehabilitation · 2026Article
- Constitutive Models for Active Skeletal Muscle: Review, Comparison, and Application in a Novel Continuum Shoulder Model.International journal for numerical methods in biomedical engineering · 2025Review
- Investigating in vivo force and work production of rat medial gastrocnemius at varying locomotor speeds using a muscle avatar.The Journal of experimental biology · 2024Article
- Impact of Quadriceps Tendon Graft Thickness on Electromechanical Delay and Neuromuscular Performance After ACL Reconstruction.Orthopaedic journal of sports medicine · 2023Article
- Modelling motor units in 3D: influence on muscle contraction and joint force via a proof of concept simulation.Biomechanics and modeling in mechanobiology · 2023Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Calculating sample entropy from isometric torque signals: methodological considerations and recommendations.Frontiers in physiology · 2023Article
- Longer electromechanical delay in paretic triceps surae muscles during voluntary isometric plantarflexion torque generation in chronic hemispheric stroke survivors.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2021Article
- Characteristic Variation of Electromechanical Delay After the Botulinum Toxin Injection in Spastic Biceps Brachii Muscles.Frontiers in neurology · 2021Article
- A Physiology-Guided Classification of Active-Stress and Active-Strain Approaches for Continuum-Mechanical Modeling of Skeletal Muscle Tissue.Frontiers in physiology · 2021Article
- Variations in Muscle Activity and Exerted Torque During Temporary Blood Flow Restriction in Healthy Individuals.Frontiers in bioengineering and biotechnology · 2021Article
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4 authors.
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Abstract
Skeletal muscles can be voluntary controlled by the somatic nervous system yielding an active contractile stress response. Thereby, the active muscle stresses are transmitted to the skeleton by a cascade of connective tissue and thus enable motion. In the context of joint perturbations as well as the assessment of the complexity of neural control, the initial phase of the muscle-tendon system's stress response has a particular importance and is analyzed by means of electromechanical delay (EMD). EMD is defined as the time lag between the stimulation of a muscle and a measurable change in force output. While EMD is believed to depend on multiple structures / phenomena, it is hard to separate their contributions experimentally. We employ a physiologically detailed, three-dimensional, multi-scale model of an idealized muscle-tendon system to analyze the influence of (i) muscle and tendon length, (ii) the material behavior of skeletal muscle and tendon tissue, (iii) the chemo-electro-mechanical behavior of the muscle fibers and (iv) neural control on EMD. Comparisons with experimental data show that simulated EMD values are within the physiological range, i.e., between 6.1 and 68.6 ms, and that the model is able to reproduce the characteristic EMD-stretch curve, yielding the minimum EMD at optimal length. Simulating consecutive recruitment of motor units increases EMD by more than 20 ms, indicating that during voluntary contractions neural control is the dominant factor determining EMD. In contrast, the muscle fiber action potential conduction velocity is found to influence EMD even of a 27 cm long muscle by not more than 3.7 ms. We further demonstrate that in conditions where only little pre-stretch is applied to a muscle-tendon system, the mechanical behavior of both muscle and tendon tissue considerably impacts EMD. Predicting EMD for different muscle and tendon lengths indicates that the anatomy of a specific muscle-tendon system is optimized for its function, i.e., shorter tendon lengths are beneficial to minimize the neural control effort for muscles primary acting as motor in concentric contractions.
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