Modelling the isometric force response to multiple pulse stimuli in locust skeletal muscle

Wilson, Emma D.; Rustighi, Emiliano; Mace, B.R.; Newland, Philip L.

doi:10.1007/s00422-011-0423-0

Cited by 6 publications

(2 citation statements)

References 38 publications

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“…They either did not take the differing properties of the slow and fast muscle fibres into account, e.g. [22] – [25] , or did not include the dedicated neuronal control network of the muscles [26] , [27] . They concentrated on producing specific muscle behaviour using certain aspects of the muscle function.…”

Section: Discussionmentioning

confidence: 99%

A Neuro-Mechanical Model of a Single Leg Joint Highlighting the Basic Physiological Role of Fast and Slow Muscle Fibres of an Insect Muscle System

et al. 2013

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In legged animals, the muscle system has a dual function: to produce forces and torques necessary to move the limbs in a systematic way, and to maintain the body in a static position. These two functions are performed by the contribution of specialized motor units, i.e. motoneurons driving sets of specialized muscle fibres. With reference to their overall contraction and metabolic properties they are called fast and slow muscle fibres and can be found ubiquitously in skeletal muscles. Both fibre types are active during stepping, but only the slow ones maintain the posture of the body. From these findings, the general hypothesis on a functional segregation between both fibre types and their neuronal control has arisen. Earlier muscle models did not fully take this aspect into account. They either focused on certain aspects of muscular function or were developed to describe specific behaviours only. By contrast, our neuro-mechanical model is more general as it allows functionally to differentiate between static and dynamic aspects of movement control. It does so by including both muscle fibre types and separate motoneuron drives. Our model helps to gain a deeper insight into how the nervous system might combine neuronal control of locomotion and posture. It predicts that (1) positioning the leg at a specific retraction angle in steady state is most likely due to the extent of recruitment of slow muscle fibres and not to the force developed in the individual fibres of the antagonistic muscles; (2) the fast muscle fibres of antagonistic muscles contract alternately during stepping, while co-contraction of the slow muscle fibres takes place during steady state; (3) there are several possible ways of transition between movement and steady state of the leg achieved by varying the time course of recruitment of the fibres in the participating muscles.

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Section: Discussionmentioning

confidence: 99%

A Neuro-Mechanical Model of a Single Leg Joint Highlighting the Basic Physiological Role of Fast and Slow Muscle Fibres of an Insect Muscle System

et al. 2013

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“…The Ding and al. model [1] allows to predict and to optimize the muscular force response to functional electrical stimulations and was validated experimentally [2]. The system is described as follow.…”

Section: B Mathematical Equationsmentioning

confidence: 99%

Fast Optimization Scheme for the Muscular Response to FES Stimulation to Design a Smart Electrostimulator

Gayrard

2023

2023 European Control Conference (ECC)

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A comparison of models of the isometric force of locust skeletal muscle in response to pulse train inputs

Wilson

Rustighi

Newland

et al. 2011

Biomech Model Mechanobiol

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Muscle models are an important tool in the development of new rehabilitation and diagnostic techniques. Many models have been proposed in the past, but little work has been done on comparing the performance of models. In this paper, seven models that describe the isometric force response to pulse train inputs are investigated. Five of the models are from the literature while two new models are also presented. Models are compared in terms of their ability to fit to isometric force data, using Akaike's and Bayesian information criteria and by examining the ability of each model to describe the underlying behaviour in response to individual pulses. Experimental data were collected by stimulating the locust extensor tibia muscle and measuring the force generated at the tibia. Parameters in each model were estimated by minimising the error between the modelled and actual force response for a set of training data. A separate set of test data, which included physiological kick-type data, was used to assess the models. It was found that a linear model performed the worst whereas a new model was found to perform the best. The parameter sensitivity of this new model was investigated using a one-at-a-time approach, and it found that the force response is not particularly sensitive to changes in any parameter.

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Modelling the isometric force response to multiple pulse stimuli in locust skeletal muscle

Cited by 6 publications

References 38 publications

A Neuro-Mechanical Model of a Single Leg Joint Highlighting the Basic Physiological Role of Fast and Slow Muscle Fibres of an Insect Muscle System

A Neuro-Mechanical Model of a Single Leg Joint Highlighting the Basic Physiological Role of Fast and Slow Muscle Fibres of an Insect Muscle System

Fast Optimization Scheme for the Muscular Response to FES Stimulation to Design a Smart Electrostimulator

A comparison of models of the isometric force of locust skeletal muscle in response to pulse train inputs

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