NerveRepack · Intelligent neural system for bidirectional connection with exoprostheses and exoskeletons

The main goal of the proposal is to develop a new generation of bidirectional implantable electrodes connecting the human nervous system with external mechatronic aid devices such as exoskeletons and exoprostheses, thus helping people with arm amputations or leg paralysis regain their motor and sensorial functions. Electrodes will be the primary bidirectional interface to the nerves, followed by the implantable module, comprising an ASIC for signal processing, a microcontroller, an antenna for radio communication, a coil for wireless power charging and a supercapacitor for energy storage. To enable data communication to the mechatronic structures, as well as their power management and control (via AI modules) an embedded system will be designed, fabricated, and tested. This system will then be integrated into the mechatronic structures of exoprosthesis or exoskeletons. Due to the presence of bidirectional implantable electrodes a close loop between the user’s brain and the device’s control system will be created, with the AI module being used to learn and interpret the user’s synaptic signals.All the components and modules will be designed, fabricated, and tested with demonstration being assured by integrating the neural implantable systems with exoprostheses and exoskeletons into three demonstrators aimed at different categories of patients: with forearm amputation, with lower limbs paralysis and with single leg paralysis. A new generation of exoprostheses and exoskeletons controlled by the patient’s brain via the nervous system will change the paradigm of support for people with disabilities and will have an important social, economic, medical, and technological impact. The technology advances including miniaturization, wireless communication and power supply, progresses in medical microsurgery tools and methods, new biocompatible materials and technologies will considerably contribute to the project implementation.