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Neural decoder for a Brain Spine neuroprosthesis for restoration of disabled subjects' upper-limb movement during daily life tasks

Technological challenge: Health and environment technologies, medical devices (learn more)

Department: Clinatec (LETI)

Laboratory: Clinatec (LETI)

Start Date: 01-10-2022

Location: Grenoble

CEA Code: SL-DRT-22-0648

Contact: guillaume.charvet@cea.fr

The thesis will be carried out at CEA/LETI/CLINATEC, in collaboration with EPFL (Lausanne, Switzerland) within the frame of multidisciplinary program Brain-Computer Interface (BCI). The program goal is to explore novel solutions for functional rehabilitation and/or compensation for people with sever motor disabilities using neuroprosthetics. Neuroprosthetics record, and decode brain neuronal signal for activating effectors (exoskeleton, implantable spinal cord stimulator etc.) directly without physiological neural control command pass way interrupted by spinal cord injury. Neuronal activity is recorded at the level of the cerebral cortex using chronic WIMAGINE implants. A set of decoding algorithms were developed at CLINATEC and tested in the frame of 2 clinical research protocols for tetraplegia in Grenoble and for paraplegia in Lausanne. The thesis will contribute to the next highly ambitious scientific breakthroughs addressing the medical needs of patents with sever motor disability. The PhD project will aim at the upper limb control performing real life tasks. The innovative decoding algorithms will be developed for controlling directly the joints using the revolutionary technology (EPFL) of upper limb cervical stimulation. Mixture of expert approach will be explored to mix brain guided stimulation patterns. The decoding performance will be increased in sense of the number of degrees of freedom and the control efficiency using AI, and the adaptive Bayesian approach, in particular. The decoder(s) will be tested in both clinical trial platforms.

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