Output details
15 - General Engineering
Imperial College London
Hand movement direction decoded from MEG and EEG.
Non-invasive brain-machine interfaces (BMI) have been developed by translating EEG signals evoked by movement imagery of different parts of the body into prosthetic movement. This paper provides the foundation for a new biomimetic approach for non-invasive BMIs, where different movements of the same limb are inferred from EEG/MEG. The paper was essential for projects within the competitively awarded Bernstein Focus for Neurotechnology Freiburg/Tübingen funded by €10M from the German Ministry of Education and Research (2009-2013). I was a co-coordinator of that proposal and the PI for projects worth ~€700k. Further methodological developments also led to a European patent (EP2165296B1, 15/08/12).