Literature DB >> 1116855

An analysis of the electromyogram by Fourier, simulation and experimental techniques.

G C Agarwal, G L Gottlieb.   

Abstract

Mesh:

Year:  1975        PMID: 1116855     DOI: 10.1109/tbme.1975.324486

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


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  14 in total

1.  Use of surface potential spectral characteristics for solving the inverse problem in electroneurography.

Authors:  G V Dimitrov; Z C Lateva; N A Dimitrova
Journal:  Med Biol Eng Comput       Date:  1992-07       Impact factor: 2.602

2.  Selective noninvasive electrode to study myoelectric signals.

Authors:  H K Bhullar; G H Loudon; J C Fothergill; N B Jones
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

Review 3.  Study of issues in the development of surface EMG controlled human hand.

Authors:  Hardeep S Ryait; A S Arora; Ravinder Agarwal
Journal:  J Mater Sci Mater Med       Date:  2008-06-25       Impact factor: 3.896

4.  Use of surface electromyogram as a measure of dynamic force in human limb muscles.

Authors:  P A Crosby
Journal:  Med Biol Eng Comput       Date:  1978-09       Impact factor: 2.602

5.  Power spectra of extracellular potentials generated by an infinite, homogeneous excitable fibre.

Authors:  G V Dimitrov; Z C Lateva; N A Dimitrova
Journal:  Med Biol Eng Comput       Date:  1990-01       Impact factor: 2.602

6.  Disturbances of motor output in a cat hindlimb muscle after acute dorsal spinal hemisection.

Authors:  M J Blaschak; R K Powers; W Z Rymer
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

7.  Monitoring surface EMG spectral changes by the zero crossing rate.

Authors:  G F Inbar; J Allin; O Paiss; H Kranz
Journal:  Med Biol Eng Comput       Date:  1986-01       Impact factor: 2.602

8.  The effects of motor unit synchronization on the power spectrum of the electromyogram.

Authors:  J L Weytjens; D van Steenberghe
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

9.  Spectral analysis of the surface electromyogram as a tool for studying rate modulation: a comparison between theory, simulation, and experiment.

Authors:  J L Weytjens; D van Steenberghe
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

10.  Frequency analysis of surface EMG to evaluation of muscle fatigue.

Authors:  T Sadoyama; H Miyano
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1981
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