A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials-Part II: Execution and Test for Accuracy

Lefever, Ronald S.; Xenakis, A; Luca, Carlo J. De

doi:10.1109/tbme.1982.324882

Cited by 125 publications

(39 citation statements)

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“…It has been previously demonstrated that the decomposition technique used can accurately identify several motor unit action potential trains in an active contraction (LeFever et al 1982; For the skin stimulation experiments, the recruitment threshold observed during the first contraction are plotted on the abscissa against the threshold observed during the 1COODd, pest-stimulation contraction (plotted on the ordinate). For the control experiments, the abscissa and ordinate points refer to the first and ICCOnd contractions, respectively.…”

Section: Reliability Ofmotor Unit Identificationmentioning

confidence: 99%

Effects of percutaneous stimulation on motor unit firing behavior in man

1991

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Summary. Motor unit firing behavior in human first dorsal interosseous (FDI) muscle was studied during controlled constant force isometric contractions. The threshold at which motor-units were recruited and the mean firing rate at SO" of maximal voluntary contrac tion (MVq were evaluated following stimulation of the skin area over the second digit. Stimulation of cutaneous receptors tended to increase the recruitment threshold of most of the motor units recruited under 20% MVC, while high-threshold motor units (those recruited over 30% MVq generally exhibited a decrease' in recruitment threshold. Less dramatic changes in motor unit firing rates were observed, but those motor units recruited over 30% MVC exhibited some increase in firing rate. The relationship between the change in recruitment threshold and change in motor unit firing rate is not rigid and seems to be susceptible to considerable synaptic noise.

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Section: Reliability Ofmotor Unit Identificationmentioning

confidence: 99%

Effects of percutaneous stimulation on motor unit firing behavior in man

1991

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“…Luca and co-workers [5], [6] . [8][9][10][11][12][13], the understanding of motor control [14][15][16], and the characterization of MU architecture [17].…”

Section: Prefacementioning

confidence: 99%

“…They were only suitable for the analysis of EMG signals collected during low-level contractions and could not resolve superimposed MUPs. Semi-automatic methods are much more powerful than the manual methods and utilize many of the same techniques used in automatic methods [5], [6], [45]. Nonetheless, the accuracy of the results obtained by manual methods depend greatly on the skills and experience of the operator.…”

Section: Conceptsmentioning

confidence: 99%

“…Generally, this is done using a threshold crossing technique [1], [5][6][7], [25], [26], [45], [49], [50], [53][54][55], [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73][74]. Scanning the raw or filtered signal for peaks that exceed a threshold produces a set of peaks that indicate candidate MUP positions.…”

Section: Signal Segmentation and Mup Detectionmentioning

confidence: 99%

“…The detection threshold can be a user-pre-defined absolute value [5][6][7], [53], [62][63][64][65][66][67][68], or it can be determined based on the characteristics of the signal and the noise contaminating it [7], [49], [50], [59], [60], [65][66][67][68], [75]. In practice, maximum absolute value, mean absolute value, and root mean square (RMS) value of the signal are three characteristics that may be used to set a detection threshold value.…”

Section: Signal Segmentation and Mup Detectionmentioning

confidence: 99%

See 2 more Smart Citations

EMG Signal Decomposition Using Motor Unit Potential Train Validity

Parsaei

Stashuk

2013

IEEE Trans. Neural Syst. Rehabil. Eng.

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Rank-ordered regulation of motor units

et al. 1996

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Myoelectric signals were detected from the tibialis anterior muscle of 5 subjects with a quadrifilar needle electrode while the subjects generated isometric forces that increased linearly with time (10% of maximal voluntary contraction/s) up to maximal voluntary level. Motor unit firing rates were studied as a function of force throughout the full range of muscle force output. The relationship between force and firing rate was found to contain three distinct regions. At recruitment and near maximal force levels, firing rates increased more rapidly with force than in the intermediate region. Furthermore, in the regions with rapid increases, the rate of change of firing rate was correlated to the recruitment threshold, with higher recruitment threshold motor units displaying greater rates of change. In the intermediate region, all motor units had similar rates of change of firing rate. A weak positive correlation was found between initial firing rate and recruitment threshold. Firing rates of motor units at any instant were found to be ordered according to the recruitment order: at any given time in the contraction motor units with lower recruitment thresholds had higher firing rates than units with higher recruitment thresholds. Firing rates of all motor units were observed to converge to the same value at maximal forces. Mechanisms underlying motor unit recruitment and firing rate modulation are discussed in the context of a conceptual model. © 1996 John Wiley & Sons, Inc.

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A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials-Part II: Execution and Test for Accuracy

Cited by 125 publications

References 2 publications

Effects of percutaneous stimulation on motor unit firing behavior in man

Effects of percutaneous stimulation on motor unit firing behavior in man

EMG Signal Decomposition Using Motor Unit Potential Train Validity

Rank-ordered regulation of motor units

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