An Empirical Muscle Intracellular Action Potential Model with Multiple Erlang probability Density Functions based on a Modified Newton Method

Kim, Gyu-Tae; Ferdjallah, M.; McKenzie, Frederic D.

doi:10.4137/becb.s11646

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…In Eq 13, when the fibre receives an isolated MN discharge, a 1 determines the peak-to-peak amplitude A p of the fibre AP, while a 2 and a 3 respectively determine its time-to-peak duration t tp and exponential decay time constant τ d . The fibre APs simulated with the tuned a i coefficients in Table 1 matched typical experimental cat values for A p (77 mV), t tp (0.6 ms) and τ d (0.6 ms) [67][68][69][70][71][72][73][74][75][76][77], and were five times shorter (Fig 4B) than previously proposed for amphibians at low temperature [28].…”

Section: Mu Excitation Dynamics Dynamics Of Mn Ap Elicitationsupporting

confidence: 80%

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Caillet,

Phillips,

Farina

et al. 2023

PLoS Comput Biol

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The computational simulation of human voluntary muscle contraction is possible with EMG-driven Hill-type models of whole muscles. Despite impactful applications in numerous fields, the neuromechanical information and the physiological accuracy such models provide remain limited because of multiscale simplifications that limit comprehensive description of muscle internal dynamics during contraction. We addressed this limitation by developing a novel motoneuron-driven neuromuscular model, that describes the force-generating dynamics of a population of individual motor units, each of which was described with a Hill-type actuator and controlled by a dedicated experimentally derived motoneuronal control. In forward simulation of human voluntary muscle contraction, the model transforms a vector of motoneuron spike trains decoded from high-density EMG signals into a vector of motor unit forces that sum into the predicted whole muscle force. The motoneuronal control provides comprehensive and separate descriptions of the dynamics of motor unit recruitment and discharge and decodes the subject’s intention. The neuromuscular model is subject-specific, muscle-specific, includes an advanced and physiological description of motor unit activation dynamics, and is validated against an experimental muscle force. Accurate force predictions were obtained when the vector of experimental neural controls was representative of the discharge activity of the complete motor unit pool. This was achieved with large and dense grids of EMG electrodes during medium-force contractions or with computational methods that physiologically estimate the discharge activity of the motor units that were not identified experimentally. This neuromuscular model advances the state-of-the-art of neuromuscular modelling, bringing together the fields of motor control and musculoskeletal modelling, and finding applications in neuromuscular control and human-machine interfacing research.

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Section: Mu Excitation Dynamics Dynamics Of Mn Ap Elicitationsupporting

confidence: 80%

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Caillet,

Phillips,

Farina

et al. 2023

PLoS Comput Biol

View full text Add to dashboard Cite

show abstract

“…13, when the fibre receives an isolated MN discharge, a 1 determines the peak-to-peak amplitude A p of the fibre AP, while a 2 and a 3 respectively determine its time-to-peak duration t tp and exponential decay time constant τ d . The fibre APs simulated with the tuned a i coefficients in Table 1 matched typical experimental cat values for A p (77 mV), t tp (0.6 ms) and τ d (0.6 ms) (Farmer et al, 1960; Brooks & Hongdalarom, 1968; Ludin, 1969; Kopec et al, 1978; Wallinga-De Jonge et al, 1985; Wolters et al, 1994; Balog et al, 1994; Dillmann et al, 1996; Dumitru & King, 1999; Arabadzhiev et al, 2005; Kim et al, 2013), and were five times shorter (Figure 4B) than previously proposed for amphibians at low temperature (Hatze, 1977). …”

Section: Development Of a Mn-driven Neuromuscular Model Described As ...supporting

confidence: 80%

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Caillet

Phillips

Farina

et al. 2023

Preprint

View full text Add to dashboard Cite

The computational simulation of human voluntary muscle contraction is possible with EMG-driven Hill-type models of whole muscles. Despite impactful applications in numerous fields, the neuromechanical information and the physiological accuracy such models provide remain limited because of multiscale simplifications that limit comprehensive description of muscle internal dynamics during contraction. We addressed this limitation by developing a novel motoneuron-driven neuromuscular model, that describes the force-generating dynamics of a population of individual motor units, each of which was described with a Hill-type actuator and controlled by a dedicated experimentally derived motoneuronal control. In forward simulation of human voluntary muscle contraction, the model transforms a vector of motoneuron spike trains decoded from high-density EMG signals into a vector of motor unit forces that sum into the predicted whole muscle force. The control of motoneurons provides comprehensive and separate descriptions of the dynamics of motor unit recruitment and discharge and decode the subject's intention. The neuromuscular model is subject-specific, muscle-specific, includes an advanced and physiological description of motor unit activation dynamics, and is validated against an experimental muscle force. Accurate force predictions were obtained when the vector of experimental neural controls was representative of the discharge activity of the complete motor unit pool. This was achieved with large and dense grids of EMG electrodes during medium-force contractions or with computational methods that physiologically estimate the discharge activity of the motor units that were not identified experimentally. This neuromuscular model advances the state-of-the-art of neuromuscular modelling, bringing together the fields of motor control and musculoskeletal modelling, and finding applications in neuromuscular control and human-machine interfacing research.

show abstract

An Empirical Muscle Intracellular Action Potential Model with Multiple Erlang probability Density Functions based on a Modified Newton Method

Cited by 2 publications

References 25 publications

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy

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