Effects of changes in the shape of the intracellular action potential on the peak-to-peak ratio of single muscle fibre potentials

Rodríguez, Javier; Navallas, Javier; Gila, Luis; Latasa, Iban; Malanda, Armando

doi:10.1016/j.jelekin.2011.06.005

Cited by 6 publications

(15 citation statements)

References 35 publications

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“…First, we generated the SFAPs of our IAP model and the obtained IAP references, assuming a cylindrical shape of the muscle fiber and a centrally located neuromuscular endplate. 29 As indicated in the previous studies, 12,25,27,28 the radial distance of the electrode from a muscle fiber was changed from 0.047 to 0.3 mm, which was the recommended range of its 2 local sensitivities were 0.036 (radial distance (r) , 0.2 mm) and 0.073 (r . 0.2 mm).…”

Section: Parametric Model Optimization and Generalizationmentioning

confidence: 93%

“…In the opposite case, µ was multiplied by pi (π) for next iteration. This core process was shown in equation (12).…”

Section: Optimization and Generalizationmentioning

confidence: 99%

“…As many studies have emphasized, the selection of a precise IAP model is the most critical process in modeling a SFAP because the IAP profile directly affects its SFAP. 1,6,12 For a realistic muscle IAP, various IAP models have been developed based on simple pattern adjustment, 2 its modification 5 or the combination of multiple functions. [13][14][15] Simplicity and ease of implementation were the biggest advantages of their wide use, but these models contained mismatching problems in time duration and amplitude when compared with measured IAPs.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is difficult to measure the ionic activities on muscle fiber and even muscle fiber IAP. 6,12 Nevertheless, the core relationship between an IAP and its underlying ionic transference can be looked at indirectly through a neuronal IAP and its ionic activities. The difference between the neuronal and muscular IAPs is that a neuronal IAP has an additional phase, called hyper-polarization, while a muscle IAP has three phases, being depolarization, repolarization and resting phases.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Kim

Ferdjallah

McKenzie

2013

Biomed Eng Comput Biol

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The convolution of the transmembrane current of an excitable cell and a weighting function generates a single fiber action potential (SFAP) model by using the volume conductor theory. Here, we propose an empirical muscle IAP model with multiple Erlang probability density functions (PDFs) based on a modified Newton method. In addition, we generate SFAPs based on our IAP model and referent sources, and use the peak-to-peak ratios (PPRs) of SFAPs for model verification. Through this verification, we find that the relation between an IAP profile and the PPR of its SFAP is consistent with some previous studies, and our IAP model shows close profiles to the referent sources. Moreover, we simulate and discuss some possible ionic activities by using the Erlang PDFs in our IAP model, which might present the underlying activities of ions or their channels during an IAP.

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Section: Parametric Model Optimization and Generalizationmentioning

confidence: 93%

“…In the opposite case, µ was multiplied by pi (π) for next iteration. This core process was shown in equation (12).…”

Section: Optimization and Generalizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Kim

Ferdjallah

McKenzie

2013

Biomed Eng Comput Biol

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show abstract

“…First of all, a geometric model of the muscle has to be defined, which might accommodate the existence of several tissue layers with different electrical properties (conductivities and capacitances). Together with the 'weighting function', a source function of the distribution of current sources in the fiber, such as one of those proposed for the single fiber case (Rodríguez et al, 2012), has to be used. Apart from the infinite homogeneous volume conductors, one of the first approximations for modeling the geometry of the muscle was the semi-infinite structure, which divides the complete (infinite) space into two parts separated by the skin plane: one with finite conductivity representing the muscle tissue, and one with zero conductivity, representing the other side of the skin plane (Merletti et al, 1999).…”

Section: Models For the Potentials Recorded At The Skin Surfacementioning

confidence: 99%

EMG Modeling

Rodriguez‐Falces¹,

Navallas²,

Mal³

2012

Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges

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Computational Intelligence in Electromyography Analysis-A Perspective on Current Applications and Future Challenges 4 potential, providing insight into the relationships between the anatomical and/or physiological properties of the fibre and the shape of the potential. 2. Modeling electrical conduction in skeletal muscle Striated muscle is composed of a large number of striated muscle cells, also called muscle fibers. These elongated, cylindrical cells are arranged parallel to one another, and each one is surrounded by a plasma membrane called the sarcolemma. Muscle contraction is created via the repeated activation of several groups of muscle fibers, each of which is governed by a single motorneuron through its axon (Lieber, 2010). Figure 1(a) shows a portion of a muscle fiber that is attached, at the neuromuscular junction, to the terminal branch of its axon.

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The formation of extracellular potentials over the innervation zone: Are these potentials affected by changes in fibre membrane properties?

Rodriguez‐Falces

2016

Med Biol Eng Comput

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Widespread misconceptions still exist regarding the formation of extracellular potentials over the innervation zone: the assumption (1) that the first phase of these potentials mainly reflects the process of initiation of the intracellular action potential (IAP) at the neuromuscular junction and that (2) these potentials are not sensitive to changes in fibre membrane properties (such as changes in the IAP length). Here, we examined the peculiarities of the extracellular potentials detected over the innervation region with the aim to clarify whether the changes in membrane properties are reflected in the amplitude of these potentials. These goals were addressed using a biophysical model of the IAP as well as a convolutional model of EMG generation. Also, the theoretical predictions made by these models were verified experimentally. We showed that only the initial portion of the potentials detected over the innervation zone corresponded to the origination of the IAP at the junction: the remaining (final) portion resulted from the propagation of the IAP along the fibre. It was found that, as radial distance increases, the portion of the rising phase with "propagating character" increased its duration, whereas the duration of the portion with "standing character" remained unchanged. Moreover, a lengthening of the IAP profile resulted in a distinct increase in the amplitude of the first phase of these potentials. These findings were confirmed experimentally and demonstrate that changes in fibre membrane properties influence the amplitude of surface EMG potentials recorded over the innervation zone to the same extent as they do surface potentials recorded elsewhere along the length of the muscle fibres.

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Effects of changes in the shape of the intracellular action potential on the peak-to-peak ratio of single muscle fibre potentials

Cited by 6 publications

References 35 publications

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

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

EMG Modeling

The formation of extracellular potentials over the innervation zone: Are these potentials affected by changes in fibre membrane properties?

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