Literature DB >> 4462613

A signal-to-noise investigation of nonlinear electromyographic processors.

J G Kreifeldt, S Yao.   

Abstract

Mesh：

Year:  1974        PMID： 4462613     DOI： 10.1109/TBME.1974.324317

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


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  9 in total

1.  Derivation of some parameters of myoelectric signals recorded during sustained constant force isometric contractions.

Authors:  C J De Luca; E J van Dyk
Journal:  Biophys J       Date:  1975-12       Impact factor: 4.033

2.  Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals.

Authors:  Ramon de la Rosa; Alonso Alonso; Albano Carrera; Ramon Durán; Patricia Fernández
Journal:  Sensors (Basel)       Date:  2010-12-07       Impact factor: 3.576

3.  Control performance characteristics of myoelectric signal with additive interference.

Authors:  Y T Zhang; P A Parker; R N Scott
Journal:  Med Biol Eng Comput       Date:  1991-01       Impact factor: 2.602

4.  Psychological stress evaluators: EMG correlation with voice tremor.

Authors:  G F Inbar; G Eden
Journal:  Biol Cybern       Date:  1976-11-15       Impact factor: 2.086

5.  Potential interference with medical electronic devices.

Authors:  R Reis
Journal:  Bull N Y Acad Med       Date:  1979-12

6.  Deterministic components in the myoelectric signal.

Authors:  T Basha; R N Scott; P A Parker; B S Hudgins
Journal:  Med Biol Eng Comput       Date:  1994-03       Impact factor: 2.602

7.  Multichannel data acquisition system for the survey of intercostal muscle activity.

Authors:  P F Costa; K M da Silva; P M Fernandes; J P Modesto; C Varelas da Rocha
Journal:  Med Biol Eng Comput       Date:  1980-07       Impact factor: 2.602

8.  Acquisition and analysis of electromyographic data associated with dynamic movements of the arm.

Authors:  M Gandy; S W Johnson; P A Lynn; G A Reed; S Miller
Journal:  Med Biol Eng Comput       Date:  1980-01       Impact factor: 2.602

9.  Physiological evidence for central modulation of voice tremor.

Authors:  G F Inbar; G Eden
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086
  9 in total

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