Literature DB >> 11396594

A novel approach for precise simulation of the EMG signal detected by surface electrodes.

D Farina1, R Merletti.   

Abstract

We propose a new electromyogram generation and detection model. The volume conductor is described as a nonhomogeneous (layered) and anisotropic medium constituted by muscle, fat and skin tissues. The surface potential detected in space domain is obtained from the application of a two-dimensional spatial filter to the input current density source. The effects of electrode configuration, electrode size and inclination of the fibers with respect to the detection system are included in the transfer function of the filter. Computation of the signal in space domain is performed by applying the Radon transform; this permits to draw considerations about spectral dips and clear misunderstandings in previous theoretical derivations. The effects of generation and extinction of the action potentials at the fiber end plate and at the tendons are included by modeling the source current, without any approximation of its shape, as a function of space and time and by using again the Radon transform. The approach, based on the separation of the temporal and spatial properties of the muscle fiber action potential and of the volume conductor, includes the capacitive tissue properties.

Mesh:

Year:  2001        PMID: 11396594     DOI: 10.1109/10.923782

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


  33 in total

Review 1.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  Advances in surface electromyographic signal simulation with analytical and numerical descriptions of the volume conductor.

Authors:  D Farina; L Mesin; S Martina
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

3.  Influence of muscle fibre shortening on estimates of conduction velocity and spectral frequencies from surface electromyographic signals.

Authors:  E Schulte; D Farina; R Merletti; G Rau; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

4.  Correlation-based decomposition of surface electromyograms at low contraction forces.

Authors:  A Holobar; D Zazula
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

5.  Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model.

Authors:  D Farina; L Mesin; S Martina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

6.  Influence of the shape of intracellular potentials on the morphology of single-fiber extracellular potentials in human muscle fibers.

Authors:  Javier Rodriguez-Falces; Javier Navallas; Luis Gila; Armando Malanda; Nonna Alexandrovna Dimitrova
Journal:  Med Biol Eng Comput       Date:  2012-03-24       Impact factor: 2.602

7.  Extracting synergies in gait: using EMG variability to evaluate control strategies.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan
Journal:  J Neurophysiol       Date:  2012-06-20       Impact factor: 2.714

8.  Adaptive spatial filtering of multichannel surface electromyogram signals.

Authors:  N Ostlund; J Yu; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

9.  Influence of motor unit properties on the size of the simulated evoked surface EMG potential.

Authors:  Kevin G Keenan; Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

10.  Simultaneous estimation of muscle fibre conduction velocity and muscle fibre orientation using 2D multichannel surface electromyogram.

Authors:  C Grönlund; N Ostlund; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

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