Identification Procedure in a model of single fibre action potential – Part I: Estimation of fibre diameter and radial distance

Rodríguez, Javier; Malanda, Armando; Gila, Luis; Rodríguez, Isabelle; Navallas, Javier

doi:10.1016/j.jelekin.2009.03.004

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…The results of the present work suggest that we should admit some variability in the duration of the IAP depolarization portion in order to be able to generate the range of risetimes observed experimentally. This proposal is in agreement with several other studies that have demonstrated that to explain the changes of certain SFAP parameters it is necessary to consider the excitation source as a variable function (Rodriguez et al, 2006(Rodriguez et al, , 2007(Rodriguez et al, , 2009(Rodriguez et al, , 2010.…”

Section: Considerations For Future Sfap and Mup Modelingsupporting

confidence: 91%

Analysis of the relationship between the rise-time and the amplitude of single-fibre potentials in human muscles

Rodríguez¹,

Navallas²,

Gila³

et al. 2010

Journal of Electromyography and Kinesiology

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Section: Considerations For Future Sfap and Mup Modelingsupporting

confidence: 91%

Analysis of the relationship between the rise-time and the amplitude of single-fibre potentials in human muscles

Rodríguez¹,

Navallas²,

Gila³

et al. 2010

Journal of Electromyography and Kinesiology

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“…Rodriguez and co-workers [6, 7] have shown that this quantity is related to the width of the source current generating the potential. We have found that is related to fiber diameter.…”

Section: Discussionmentioning

confidence: 99%

“…These relationships are used to develop a graphical and an analytical tool to estimate the muscle fiber diameter from the recorded action potential. Although our goal is similar, our method of analysis is quite different from that used by Rodriguez et al [6, 7]. They used a computer model to recursively obtain the best match for measured waveform.…”

Section: Introductionmentioning

confidence: 99%

A method for determination of muscle fiber diameter using single fiber potential (SFP) analysis

Zalewska

Nandedkar

Hausmanowa-Pétrusewicz

2012

Med Biol Eng Comput

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We have used computer simulation to study the relationship between the muscle fiber diameter and parameters: peak-to-peak amplitude and duration of the negative peak of the muscle fiber action potential. We found that the negative peak duration is useful in the determination of fiber diameter via the diameter dependence of conduction velocity. We have shown a direct link between the underlying physiology and the measurements characterizing single fiber potential. Using data from simulations, a graphical tool and an analytical method to estimate the muscle fiber diameter from the recorded action potential has been developed. The ability to quantify the fiber diameter can add significantly to the single fiber electromyography examination. It may help study of muscle fiber diameter variability and thus compliment the muscle biopsy studies.

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“…However, the correct estimation of these distances is not simple either. Given a muscle fiber, there is a compensation effect between its diameter and its radial distance so that similar simulated SFAPs can be obtained adequately varying these two parameters [45,101,102]. Note that the diameter and the MFCV of a muscle fiber have a direct relationship [81], and therefore the estimation of both parameters is totally linked.…”

Section: Limitations Due To the Single Position Recordingmentioning

confidence: 97%

“…Another method to estimate parameters from a single muscle fiber was proposed by [102,103]. These parameters were the fiber diameter and the radial fiber-electrode distance, as well as the IAP parameters given by the model described in [100].…”

Section: Estimation Of the Parameters Of A Single Muscle Fibermentioning

confidence: 99%

Estimation of the motor unit structure from scanning electromyography and surface electromyography recordings

Corera¹,

Rodriguez‐Falces²

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In this thesis, several algorithmic procedures to estimate the MU fiber parameters from the waveform of a scanning-EMG signal (i.e., from the recording of a MUP in multiple positions along a linear corridor) have been developed. The different procedures correspond to different modifications of the scanning-EMG technique, which differ in the number of scanning needles and recording ports used to record the signal. The three proposed variants are: the 1-port recording, based on a single scanning needle with a single recording port placed at one side of the needle (i.e., a single fiber EMG needle); the 2-port recording, based on a single scanning needle, with two recording ports, placed at opposite sides of the needle; and the 4-port recording, based on two scanning needles, each one with two recording ports. The estimation system also uses a linear array of surface-EMG recordings to obtain complementary information about the MU. In this way, the recording setup to achieve the MU parameter estimation consists on a simultaneous surface- and scanning-EMG signal recording of the MUP. The estimation system has been evaluated for the three scanning-EMG recording configurations (1-port, 2-port, and 4-port), and compared to the case in which the estimation is performed from a MUP recorded at a single position. The evaluation has been done in a simulation framework, using state of the art models of the muscle, MUs, recruitment, and needles, and developing specific models for the simultaneous surface- and scanning-EMG recording process. This provides a controlled environment in which the performance of the system can be objectively quantified and evaluated.The results evidence that MU parameters are estimated much more accurately when using the scanning-EMG technique than when using a MUP recorded at a single position, corroborating the hypothesis that the use of signals recorded at multiple positions enhances the parameter estimation. Among the three proposed recording configurations, the poorest estimation results have been obtained for the 1-port configuration which, moreover, is only capable of estimating the MU fibers at one side of the needle. The 2-port configuration gives better results, and allows to estimate the MU fibers at both sides of the needle. The 4-port configuration is the one that provides the best performance, but it has the disadvantage of being the most difficult configuration to be physically implemented. In the view of these results, a deeper evaluation of the 2-port recording configuration is done. This is because it combines a good estimation performance with a relative ease to be physically implemented. An additional effort is done to calculate several global MU parameters, such as the MU fiber density, the average potential propagation velocity of the fibers, and the width of the innervation zone, from the resulting set of estimated fibers. These global MU parameters provide relevant physiological information from a clinical point of view. Hence global parameters connect the estimation system developed in this thesis with a future application in the diagnosis and follow-up of neuromuscular pathologies.

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Identification Procedure in a model of single fibre action potential – Part I: Estimation of fibre diameter and radial distance

Cited by 7 publications

References 27 publications

Analysis of the relationship between the rise-time and the amplitude of single-fibre potentials in human muscles

Analysis of the relationship between the rise-time and the amplitude of single-fibre potentials in human muscles

A method for determination of muscle fiber diameter using single fiber potential (SFP) analysis

Estimation of the motor unit structure from scanning electromyography and surface electromyography recordings

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