tailieunhanh - Báo cáo khoa hoc:" A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training | Journal of NeuroEngineering and Rehabilitation BioMed Central Research A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training Turan A Kayagil1 2 3 Ou Bai 1 4 Craig S Henriquez2 Peter Lin1 Stephen J Furlani1 Sherry Vorbach1 and Mark Hallett1 Open Access Address National Institute of Neurological Disorders and Stroke Bethesda MD 20892 USA 2Duke University Department of Biomedical Engineering Durham NC 27708 USA 3Georgetown University School of Medicine Washington DC 20057 USA and Virginia Commonwealth University Department of Biomedical Engineering Richmond VA 23284 USA Email Turan A Kayagil - tkayagil@ Ou Bai - obai@ Craig S Henriquez - ch@ Peter Lin - linpe@ Stephen J Furlani - sfur777@ Sherry Vorbach - vorbachs@ Mark Hallett - hallettm@ Corresponding author Published 6 May 2009 Received 8 July 2008 Journal of NeuroEngineering and Rehabilitation 2009 6 14 doi 86 1743-0003-6-14 Accepted 6 May 2009 This article is available from http content 6 1 14 2009 Kayagil et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract__ Background Brain-computer interfaces BCI use electroencephalography EEG to interpret user intention and control an output device accordingly. We describe a novel BCI method to use a signal from five EEG channels comprising one primary channel with four additional channels used to calculate its Laplacian derivation to provide two-dimensional 2-D control of a cursor on a computer screen with simple threshold-based binary classification of band power readings taken over