Literature DB >> 1688776

Muscle fiber conduction velocity and contractile properties estimated from surface electrode arrays.

H Nishizono1, T Fujimoto, H Ohtake, M Miyashita.   

Abstract

Using an array of surface electrodes set 5 mm apart, we estimated the conduction velocities of muscle fibers during submaximal voluntary isometric contraction of human first dorsal interosseous muscle. The conduction velocity obtained by the averaging method ranged from 3.2 to 5.0 m/sec with a mean of 4.2 m/sec. Twitch tensions in the muscle detected during voluntary isometric contractions ranged from 0.31 to 5.97 g with a mean of 2.75 g based on an averaging method triggered by surface myoelectric signals. Threshold forces of the motor units varied from 120 to 930 g. The rise time of the force developed by isometric adduction ranged from 36.0 to 75.4 msec, with a mean of 55.4 msec. The conduction velocity of the muscle fiber showed a high correlation with the twitch (r = 0.71, n = 50; P less than 0.001) and threshold (r = 0.52, n = 50; P less than 0.001) forces, but a low one with rise time (r = -0.32, n = 50; P less than 0.05). The use of the averaging method with surface electrode arrays, especially for voluntary isometric contractions, shows that motor unit conduction velocity and contractile properties are functionally correlated.

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Year:  1990        PMID: 1688776     DOI: 10.1016/0013-4694(90)90154-c

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  3 in total

1.  Non-invasive method to detect motor unit contractile properties and conduction velocity in human vastus lateralis muscle.

Authors:  H Nishizono; T Fujimoto; H Kurata; H Shibayama
Journal:  Med Biol Eng Comput       Date:  1995-07       Impact factor: 2.602

2.  Estimation of single motor unit conduction velocity from surface electromyogram signals detected with linear electrode arrays.

Authors:  D Farina; W Muhammad; E Fortunato; O Meste; R Merletti; H Rix
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

3.  Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging.

Authors:  Diego Pereira Botelho; Kathleen Curran; Madeleine M Lowery
Journal:  PLoS Comput Biol       Date:  2019-08-29       Impact factor: 4.475

  3 in total

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