TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
Ian Daly received the M.Eng. degree in computer science and the Ph.D. degree in cybernetics from the University of Reading, Reading, U.K.
Between May 2011 and 2013 he was a Postdoctoral Researcher in the Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria. He is currently a Postdoctoral Researcher at the University of Reading, Reading, U.K. His research interests focus on BCIs, nonlinear dynamics, machine learning, signal processing, and connectivity analysis in the EEG and fMRI. He is also interested in the neurophysiological correlates of motor control and stimuli perception and how they differ between healthy participants and individuals with neurological and physiological impairments.
A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in braincomputer interfacing (BCI). The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able...
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