Research – BNL

At BNL, our research focuses on the following fields:

Osseointegrated limb prosthesis
Bioelectric signals acquisition and processing
Decoding of motor volition (machine learning)
Neural sensory feedback (neurostimulation)
Neural interfaces (electrodes)
Virtual and Augmented Reality
Phantom Limb Pain
Neurorehabilitation

Major Projects

BioPatRec

BioPatRec is a research platform (on MATLAB) that allows you to “easily” implement algorithms to be tested in a real-life and challenging problem: The control of artificial limbs via decoding (or pattern recognition) of bioelectric signals.

Natural control of artificial limb via an osseointegrated implant

The OHMG is a bidirectional interface that allows permanent communication into the human body, and it is the key development of this project. The scope of this research includes: the OHMG and neuromuscular interfaces; analog and digital electronics such as biopotential amplifiers, filters, and microcontrollers; bioelectric signal processing, pattern recognition, and control algorithms; and finally but more importantly, the clinical implementation of this technology.

Phantom Limb Pain Treatment

A new method for the treatment of Phantom Limb Pain (PLP) based on the promotion of phantom movements along with virtual and augmented reality (VR/AR), namely Phantom Motor Execution.