Parallel cross-correlators for investigating reliability of measurement of muscle fiber conduction velocity using surface EMG

Harba, M.I.A.; Teng, L Y

doi:10.1109/iembs.1996.647512

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…There appears to be a trade-off between a high CC value and the variability of mPV (or CV) estimates for a given ISD. This was found here for both BB and TA, and reported elsewhere for muscles of the upper arm [11,32,33,36].…”

Section: Spatial Variation Of CV Estimatessupporting

confidence: 77%

“…Therefore it would seem wise to choose a small ISD to ensure high CC. However, small ISDs can give rise to increased spatial variability of the CV estimates [11,32,33,36]. This variability, which increases with decreasing ISD, can be observed at a remove from the EP and the tendon region.…”

Section: Introductionmentioning

confidence: 96%

“…Regardless of the calculation technique erroneous CV values may arise due to incorrect electrode placement and/or orientation. The importance of correct electrode placement has been dealt with [4,11,22,25,28,31]. Particular care should be made to ensure that the electrodes are not placed in the vicinity of the end-plate (EP) or the tendon region.…”

Section: Introductionmentioning

confidence: 99%

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The effects of bipolar electrode montage on conduction velocity estimation from the surface electromyogram

Beck

O’Malley

Dijk³

et al. 2004

Journal of Electromyography and Kinesiology

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Section: Spatial Variation Of CV Estimatessupporting

confidence: 77%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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The effects of bipolar electrode montage on conduction velocity estimation from the surface electromyogram

Beck

O’Malley

Dijk³

et al. 2004

Journal of Electromyography and Kinesiology

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“…Parameters of the detection and processing systems, such as the interelectrode distance, number of EMG signals, spatial filter applied, estimation method, and location of the electrodes, have an impact on the quality of the estimates, in terms of bias and variance. 9,11,13,16,18,33,34 For assessing MFCV from surface EMG signals during voluntary contractions, signal epochs of 100 ms to 1 s are used. 9,23 If a contraction is sustained for long intervals of time at constant force, MFCV decreases, indicating fatigue.…”

mentioning

confidence: 99%

Reproducibility of muscle‐fiber conduction velocity estimates using multichannel surface EMG techniques

Farina¹,

Zagari²,

Gazzoni³

et al. 2004

Muscle and Nerve

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The aim of this study was to assess the reproducibility of muscle-fiber conduction velocity (MFCV) estimates obtained from multichannel surface electromyographic (EMG) recordings. Surface EMG signals were collected with a matrix of 61 electrodes during isometric, submaximal (50% of the maximal voluntary contraction torque) contractions of the biceps brachii muscle. Conduction velocity was estimated using multichannel maximum likelihood techniques. Reproducibility of MFCV estimates was assessed varying the number of signals (two to seven) used for the estimate and the distance between detection points (5-30 mm). Intraclass correlation coefficient (ICC) of both initial MFCV values and their rates of change with fatigue increased when increasing number of signals and distance between detection points. ICC of initial MFCV was negative using two signals for MFCV estimate, and it increased to approximately 75% with six to seven signals. Thus, reproducibility of MFCV estimates may be improved significantly using advanced multichannel estimation methods with respect to classic two-channel techniques.

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“…This was a direct approach, applied many times by different investigators in other tissues (such as, for example, the heart or skeletal muscle). Electromyogram (EMG) analysis, in turn, as a much wider subject, is an important research subject nowadays, as demonstrated by recent studies (HARBA and TENG, 1999;PATTICHIS et al, 1999).…”

Section: Introductionmentioning

confidence: 96%

Propagation velocity measurement: Autocorrelation technique applied to the electromyogram

Spinelli

Felice

Mayosky

et al. 2001

Med. Biol. Eng. Comput.

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Muscle fibre conduction velocity is an important measurement in electrophysiology, both in the research laboratory and in clinical practice. It is usually measured by placing electrodes spaced at known distances and estimating the transit time of the action potential. The problem, common to all methods, is the estimation of this time delay. Several measurement procedures, in the time and frequency domains, have been proposed. Time-domain strategies usually require two acquisition channels, whereas some frequency-domain methods can be implemented using a single one. The method described operates in the time domain, making use of the autocorrelation function of the difference signal obtained from two needle electrodes and only one acquisition channel. Experimental results were obtained from the electromyogram of two biceps muscles (two adult male subjects, nine records each) under voluntary contraction, yielding an average of 3.58 m s(-1) (SD=0.04 m s(-1)) and 3.37m s(-1) (SD=0.03 m s(-1)), respectively. Several tests showed that the proposed method works properly with electromyogram records as short as 0.3 s.

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Parallel cross-correlators for investigating reliability of measurement of muscle fiber conduction velocity using surface EMG

Cited by 3 publications

References 6 publications

The effects of bipolar electrode montage on conduction velocity estimation from the surface electromyogram

The effects of bipolar electrode montage on conduction velocity estimation from the surface electromyogram

Reproducibility of muscle‐fiber conduction velocity estimates using multichannel surface EMG techniques

Propagation velocity measurement: Autocorrelation technique applied to the electromyogram

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