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Output details

15 - General Engineering

Imperial College London

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Output 47 of 109 in the submission

Article title

Hand movement direction decoded from MEG and EEG.

Type

D - Journal article

DOI

10.1523/JNEUROSCI.5171-07.2008

Title of journal

Journal of Neuroscience

Article number

Volume number

Issue number

First page of article

1000

ISSN of journal

1529-2401

Year of publication

2008

URL

Number of additional authors

Additional information

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).

Interdisciplinary

Yes

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract