Literature DB >> 7845068

Analogue and digital instruments for non-invasive estimation of muscle fibre conduction velocity.

A Fiorito1, S Rao, R Merletti.   

Abstract

Analogue and digital instruments for non-invasive on-line measurement of muscle fibre conduction velocity (CV) have been designed, built and compared using test signals and real myo-electric signals. Their inputs consist of two single-differential or double-differential myo-electric signals, obtained using a three- or four-contact surface electrode system. The analogue device computes CV by tracking the lag of the zero-crossing of the cross-correlation between the first signal and the derivative of the second. The digital device computes the peak of the cross-correlation function between the two signals by sampling them at 50 KHz for 20 ms (or longer, up to 320 ms), computing CV in about 30 ms (or longer, up to about 670 ms) and resuming sampling. Both devices allow estimation of CV during either voluntary or electrically elicited contractions and include a stimulation stage and a signal conditioner with artefact suppression features. Both devices provide analogue and numerical outputs and allow interfacing with analogue and digital instrumentation. They can be used in clinical or in research environments for easy and quick identification of appropriate electrode locations and/or for monitoring CV during sustained voluntary or electrically elicited contractions. The digital version is more versatile and requires no adjustments; it provides an estimate based on intermittent reading of the signals and is more sensitive to noise and momentary CV fluctuations.

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Year:  1994        PMID: 7845068     DOI: 10.1007/bf02515310

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  18 in total

1.  Influence of tissue inhomogeneities on noninvasive muscle fiber conduction velocity measurements--investigated by physical and numerical modeling.

Authors:  J Schneider; J Silny; G Rau
Journal:  IEEE Trans Biomed Eng       Date:  1991-09       Impact factor: 4.538

2.  Suppression of simulation artifacts from myoelectric-evoked potential recordings.

Authors:  M Knaflitz; R Merletti
Journal:  IEEE Trans Biomed Eng       Date:  1988-09       Impact factor: 4.538

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Authors:  T Sadoyama; T Masuda; H Miyata; S Katsuta
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1988

4.  Muscle fibre conduction velocity in motor units of the human anterior tibial muscle: a new size principle parameter.

Authors:  S Andreassen; L Arendt-Nielsen
Journal:  J Physiol       Date:  1987-10       Impact factor: 5.182

5.  Effects of electrode location on myoelectric conduction velocity and median frequency estimates.

Authors:  S H Roy; C J De Luca; J Schneider
Journal:  J Appl Physiol (1985)       Date:  1986-10

6.  High-resolution alignment of sampled waveforms.

Authors:  K C McGill; L J Dorfman
Journal:  IEEE Trans Biomed Eng       Date:  1984-06       Impact factor: 4.538

7.  A note on the noninvasive estimation of muscle fiber conduction velocity.

Authors:  H Broman; G Bilotto; C J De Luca
Journal:  IEEE Trans Biomed Eng       Date:  1985-05       Impact factor: 4.538

8.  A microprocessor-based polarity correlator for the on-line measurement of muscle fiber conduction velocity.

Authors:  M I Harba; A K Naief
Journal:  IEEE Trans Biomed Eng       Date:  1985-12       Impact factor: 4.538

9.  The measurement of muscle fiber conduction velocity using a gradient threshold zero-crossing method.

Authors:  T Masuda; H Miyano; T Sadoyama
Journal:  IEEE Trans Biomed Eng       Date:  1982-10       Impact factor: 4.538

10.  pH-induced effects on median frequency and conduction velocity of the myoelectric signal.

Authors:  L R Brody; M T Pollock; S H Roy; C J De Luca; B Celli
Journal:  J Appl Physiol (1985)       Date:  1991-11
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  3 in total

1.  Errors associated with the use of adaptive differential pulse code modulation in the compression of isometric and dynamic myo-electric signals.

Authors:  A D Chan; D F Lovely; B Hudgins
Journal:  Med Biol Eng Comput       Date:  1998-03       Impact factor: 2.602

2.  Advances in processing of surface myoelectric signals: Part 2.

Authors:  L R Lo Conte; R Merletti
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

3.  Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring.

Authors:  Daniela De Venuto; Giovanni Mezzina
Journal:  Sensors (Basel)       Date:  2019-10-22       Impact factor: 3.576

  3 in total

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