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Development of a Remote Ecosystem for implanted Neuromodulator to realize real-time Adaptive Therapy for Neurological Diseases

DIETI Contact person / Partner: Maurizio Boccia

Abstract

The usage of adaptive neuromodulation devices with simultaneous sensing and stimulation is the most recent advance in clinical neurological therapy. Sensing and stimulating specific areas in the nervous system will lead to maximize global knowledge about disease model, minimize time delays for therapy actuation and investigate the instantaneous response to a stimulation, enabling thus the deployment of a medical artificial intelligence as real-time therapy controller. The capability to grant a viable, low-energy communication layer between Implanted devices and computing resources is essential to allow the flourishing of neuromodulation as a continuous bioelectronic medicine.

Objective

Develop a remote controller system that could enable a use case involving end-to-end adaptive-loop neuromodulation, in order to:

  • minimize energy expenditure in the implanted pulse generator;
  • fulfil therapeutic task (e.g. damping oscillating behaviour in neurological disease like Parkinson, essential tremor, bypass damaged nervous areas, forecast seizures) while minimizing potential side-effects;
  • providing data exposure to third-parties in order to provide data for analytics and AI system;
  • enable a reliable and non-invasive patient-centric monitoring system for chronical disease.
  • allow interoperability with other medical use-cases related to tele-health system

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Can be assigned to one doctoral student of cycle XXXVI 

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