Output details
15 - General Engineering
Imperial College London
Prediction of arm movement trajectories from ECoG-recordings in humans.
Here, we pioneered a novel brain-machine interface (BMI) technology, based on recording neuronal signals directly at the surface of the human brain (Patent DE102006008501.9 25/01/2008). This eliminates the problem of the highly invasive nature of previous brain sensors for BMIs while maintaining high bandwidth, resolution and information. Since our article, epicortical recording has become an influential major technique in BMI research, with about 100 full papers published. I have been invited to several major conferences (eg “BNA2013: Festival of Neuroscience”) to give talks about this research. Our paper has received the “Top cited article award 2008-2010” from the journal.