Date d'arrivée à l'ITMO : Vendredi 04 Décembre 2020
Postdoctoral fellow in AI, real time signal processing and software for real time epilepsy prediction/forecasting for closed loop neuromodulation by focal Cooling
The post-doctoral fellowship will be carried out at CEA-LETI-CLINATEC in partnership with CEA-LETI-DSYS and DSCIN, located at the research technological center CEA (Commissariat à l'Energie Atomique et aux Energies Alternatives), in Grenoble, France. CEA-LETI teams involved in the project possess significant experience in neural signal decoding, machine learning and signal processing. The project partners are reference units for the development of smart algorithms and data processing. The teams have a leading position in the field of Artificial Intelligence (Deep Learning (DL) / Machine Learning (ML), in particular focusing on non-conventional applications under constraints, algorithmic approaches under computing power limitations and efficient model re-training in potentially non-stationary context. Clinatec has a long experience in Implantable Medical Devices and in preclinical models. The final goal of the project is moving toward cooling neuroprosthetic for drug resistance epilepsy. We propose in this particular project to explore "forecasting seizures algorithms" for closed loop neuromodulation. Seizure prediction/forecasting algorithms are essential part of any implantable device for epilepsy. Our proposal is based on the existing motor BCI algorithms already in clinical use that can be applied to generate prediction/forecasting of seizures occurrence. For the motor BCI algorithms, we have published and patented algorithms capable of 8 degrees of freedom decoding in real time of motor imagery in tetraplegic patients. Neural decoder is integrated to software environment, which support real time neural signal processing, and is able to send control command to external devices. Decoding algorithms will be potentially redesigned to better respond to the epileptic seizures forecasting task.
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