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Master Thesis

Interface cerveau-machine et capacité de préhension chez l’hémiplégique vasculaire : étude du signal cérébral

Abstract : The Brain-Machine Interface allows a recovery of the upper limb motricity through cerebral plasticity with the closing of the sensory-motor loop. In order to allow a grasping movement of the upper limb through the BCI, it is necessary to be able to detect properly the subject's cerebral signal, more particularly the intention to act. Material and method: a Study of the feasibility Which Described the cerebral signal in 10 healthy subjects was carried out during one year. The brain signal was analyzed using a non-invasive, EEGbased, Tmsi MCI device during global and fine upper limb grasping tasks. The main objective was to show the ability of this system to detect intention to act. Subjects performed 3 tasks: key grip, grasping and bimanual grasping, 12 Times each, and a rest phase. Results: the BCI Tmsi device made it possible to detect the intention to act, by broadening the acquisitions of the brain signal initially studied and thus allowing a combination of customized frequency bands optimizing the capabilities of the classifier in its analysis of the signal. It was not possible to include post-stroke patients due to technical issues and recruitment difficulties during the health crisis. Conclusion: the BCI Tmsi device used for our study allows the detection of the intention to act in 10 healthy subjects. It is now necessary to use this BCI to study the cerebral signal of vascular hemiplegic patients included in the EPrehension Stroke protocol, in order to use the BCI as a trigger for a finger extensor FES system.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03356776
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Submitted on : Tuesday, September 28, 2021 - 1:51:27 PM
Last modification on : Wednesday, October 13, 2021 - 3:31:26 AM

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  • HAL Id : dumas-03356776, version 1

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Clément Richaud. Interface cerveau-machine et capacité de préhension chez l’hémiplégique vasculaire : étude du signal cérébral. Médecine humaine et pathologie. 2020. ⟨dumas-03356776⟩

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