Wireless Bidirectional Real-Time Communication System for Intelligent Neural Interfaces

This thesis aims to create a wireless bidirectional real-time system enabling communication between an implantable device for neural signals acquisition and stimulation and an external mechatronic structure, such as an exoprosthesis or exoskeleton.     Two microcontroller boards handle wireless data transfer, one as a part of the implantable module and the other in the external control/signal processing module. Communication within each module is achieved via Serial Peripheral Interface (SPI), while the two modules communicate with each other over Bluetooth Low Energy (BLE). BLE technology, leveraging the Bluetooth 5 protocol, can ensure high data throughput.   Custom firmware was developed for both modules, and the communication system was validated through dedicated testing.     Neural signal acquisition operates across five channels at 16-bit resolution and a 10 kHz transfer rate, requiring a data rate of at least 800 kbps. The neural stimulation system uses two channels at 16-bit resolution and a 1 kHz transfer rate, needing a minimum of 32 kbps. The optimal configuration achieved a throughput of at least 900 kbps from the implantable to the external module and 500 kbps concurrently in the opposite direction, meeting the specified requirements.