Literature DB >> 2287183

Selective noninvasive electrode to study myoelectric signals.

H K Bhullar1, G H Loudon, J C Fothergill, N B Jones.   

Abstract

The paper describes the design and construction of a selective surface electrode for use in a clinical environment. The main criterion of the design was to enable the recognition of individual motor unit action potential trains (MUAPTs) at moderate force levels. The main features of the electrode are, first, a small concentric bipolar arrangement to avoid electrode/muscle fibre alignment problems and to allow measurements within a small, well defined probed volume; secondly, the non-requirement for conducting paste or gel; and thirdly, the casing acting as an earth plate. All of these simplify its use. The results of tests undertaken with the electrode showed that it was able to pick up individual MUAPTs at up to 20 per cent of maximum voluntary contraction from the first dorsal interosseous muscle. Tests were carried out on the small hand muscles to further demonstrate the usefulness of the electrode. A computer program was written to calculate the shift in frequency of the power spectrum of the recorded myoelectric signal with muscle fatigue and hence indirectly to demonstrate the ability of the electrode to detect the reduction in muscle fibre conduction velocity.

Entities:  

Mesh:

Year:  1990        PMID: 2287183     DOI: 10.1007/bf02442611

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


  4 in total

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

Authors:  G C Agarwal; G L Gottlieb
Journal:  IEEE Trans Biomed Eng       Date:  1975-05       Impact factor: 4.538

2.  An application of signal processing techniques to the study of myoelectric signals.

Authors:  E Kwatny; D H Thomas; H G Kwatny
Journal:  IEEE Trans Biomed Eng       Date:  1970-10       Impact factor: 4.538

3.  Pasteless electrode for clinical use.

Authors:  C J De Luca; R S Le Fever; F B Stulen
Journal:  Med Biol Eng Comput       Date:  1979-05       Impact factor: 2.602

4.  Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity.

Authors:  F B Stulen; C J DeLuca
Journal:  IEEE Trans Biomed Eng       Date:  1981-07       Impact factor: 4.538

  4 in total
  3 in total

1.  Reducing power line interference in digitised electromyogram recordings by spectrum interpolation.

Authors:  D T Mewett; K J Reynolds; H Nazeran
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  New signal processing techniques for the decomposition of EMG signals.

Authors:  G H Loudon; N B Jones; A S Sehmi
Journal:  Med Biol Eng Comput       Date:  1992-11       Impact factor: 2.602

3.  Spatio-spectral filters for low-density surface electromyographic signal classification.

Authors:  Gan Huang; Zhiguo Zhang; Dingguo Zhang; Xiangyang Zhu
Journal:  Med Biol Eng Comput       Date:  2013-02-06       Impact factor: 2.602

  3 in total

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