Neural signal decoding for clinical Brain Spine neuroprosthesis

The postdoctoral project will be carried out at CEA/LETI/CLINATEC, in collaboration with EPFL (Lausanne, Switzerland) within the frame of multidisciplinary Brain-Machine Interface program. 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 (e.g. implantable spinal cord stimulator) directly without physiological neural control command pass way interrupted by spinal cord injury. A set of decoding algorithms analyzing the neuronal activity recorded at the level of the cerebral cortex were developed at CLINATEC. They were tested in the frame of clinical research protocols for tetraplegia in Grenoble and for paraplegia in Lausanne. The postdoctoral fellow will contribute to the next highly ambitious scientific breakthroughs addressing the medical needs of patents. Using the revolutionary technology (EPFL) of cervical stimulation for the upper limb control in tetraplegics, the postdoctoral project will aim at the upper limb BMI control algorithms performing real life tasks. The innovative decoding algorithms will be developed for controlling different effectors and combinations including Cartesian control and the direct joints control. Hidden semi-Markov Model will be employed to take into account the action temporal sequences performing real-life tasks. The decoder(s) will be tested in related clinical trial.

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