IEEE - Institute of Electrical and Electronics Engineers, Inc. - Long-term asynchronous decoding of 3D hand trajectories using electrocorticographic signals in primates Toward a chronic asynchronous brain-machine interface

2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

Author(s): Chao, Z.C. ; Nagasaka, Y. ; Fujii, N.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 April 2009
Conference Location: Antalya, Turkey, Turkey
Conference Date: 29 April 2009
Page(s): 263 - 266
ISBN (CD): 978-1-4244-2073-5
ISBN (Paper): 978-1-4244-2072-8
DOI: 10.1109/NER.2009.5109283
Regular:

Brain-machine interfaces (BMI) based on electrocorticography (ECoG) utilize higher fidelity signals over non-invasive BMIs, and provide greater long-term stability over other invasive BMIs.... View More

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