CPG-based circuitry for controlling musculoskeletal model of human locomotor system

Andrii Shachykov 1, 2 Patrick Henaff 3 Anton Popov 1 Olexandr Shulyak 1
2 BISCUIT - Bio-Inspired, Situated and Cellular Unconventional Information Technologies
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
3 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : In this paper, a new neuro-musculoskeletal simulator of human locomotor system is presented. This simulator is dedicated to reproduce healthy or altered walking gaits. It contains three joints per leg (hip, knee, ankle) controlled by twelve human muscle models activated by six specific models of central pattern generator (CPG). The CPG consists of three layers and four types of neurons and controls human leg joints. The CPGs are able to generate variable rhythmic signals by changing their intrinsic neural parameters which are controlled by descending signals from mesencephalic locomotor region (MLR), while output signals of motoneurons of CPGs control muscle models. Simulation results in Matlab show that it is possible to generate different stable walking gaits by changing intrinsic parameters of CPGs. According to these changes, the simulator can exhibit coherent or incoherent coordination between the two legs and consequently, stable or unstable walking gaits starting from the double support phase. Results show that this simulator will allow to reproduce walking gaits altered by basal ganglia decision-making system affected by Parkinson's disease.
Type de document :
Communication dans un congrès
BioCAS 2017 - IEEE Biomedical Circuits and Systems Conference, Oct 2017, Turin, Italy
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01798605
Contributeur : Andrii Shachykov <>
Soumis le : mercredi 23 mai 2018 - 16:21:39
Dernière modification le : mercredi 18 juillet 2018 - 18:34:01
Document(s) archivé(s) le : vendredi 24 août 2018 - 21:52:57

Fichier

Shachykov_BioCAS_PH7.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01798605, version 1

Citation

Andrii Shachykov, Patrick Henaff, Anton Popov, Olexandr Shulyak. CPG-based circuitry for controlling musculoskeletal model of human locomotor system. BioCAS 2017 - IEEE Biomedical Circuits and Systems Conference, Oct 2017, Turin, Italy. 〈hal-01798605〉

Partager

Métriques

Consultations de la notice

71

Téléchargements de fichiers

58