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Titre: | Simulated surface electromyographic (semg) signal generation and detection model |
Auteur(s): | Messaoudi, Noureddine Belkacem, Samia Bekka, Rais El’hadi |
Mots-clés: | Detection system Fibres Modelling Motor unit Surface electromyography |
Date de publication: | 2023 |
Editeur: | Sciendo |
Collection/Numéro: | Scientific Bulletin of the Electrical Engineering; |
Résumé: | For didactic purposes, the aim of this work
was to improve a simulation model of surface
electromyographic (sEMG) signal by taking into
consideration the shortcomings of previously developed
models. This model started with the simulation of the
single fibre action potential (SFAP), then the model of
the single motor unit action potential (MUAP),
afterwards the imitation of the train of MUAP and
finally the modellig of the resultant sEMG signal which
is the sum of the MUAPs trains. SFAP simulation was
based on: i) the description of the volume conductor
model which is composed of four layers (bone, muscle,
fat and skin), ii) the description of the electrodes shapes
and sizes as well as spatial filters, iii) and the
transmebrane current. The proposed model shows its
effectiveness in the possibility of carrying out practical
work by simulation on the modelling of SFAP, MUAP,
MUAPT and the sEMG signal. The most important
result of this model is that signal processing tools can be
applied to analyze and interpret real-world phenomena
such as the effects of physiological , non physiological
and sensing system parameters on the shape of the
simulated sEMG signal. |
URI/URL: | DOI: 10.2478/sbeef-2023-0024 http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13841 |
ISSN: | 2286-2455 |
Collection(s) : | Publications Internationales
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