Duration: October 2020 - March 2024

Funder: Commission of the European Communities

Research Team: Prof. Farina

Collaborators: 

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The aim of NIMA is to build and test interfaces that allow persons to control artificial limbs in coordination with their natural limbs. Such systems would have multiple applications in many different areas, for instance laparoscopic surgeons could become able to perform surgical procedures with three hands allowing them to carry out tasks that require a skilled synchronisation of the manipulation of three surgical instruments that currently cannot be realised with minimally invasive access. 

This project develops algorithms that can extract motor unit activities from high-density EMG recordings (>100 electrodes), allowing the monitoring of neural activation in highly non-stationary conditions. The developed online adaptive approach will be used for online control of supernumerary effectors. The implementation of the supernumerary control will make use of the same procedure of gradually increasing the complexity of control. Likewise, different null spaces, recordings from different body parts and different learning strategies will be tested here in analogy to the procedures.