Simulation of the current density distribution for transcranial electric current stimulation around the eye. - In: Brain stimulation, ISSN 1876-4754, Bd. 8 (2015), 2, S. 406
https://doi.org/10.1016/j.brs.2015.01.294
Novel flexible cap with integrated textile electrodes for rapid transcranial electrical stimulation. - In: Brain stimulation, ISSN 1876-4754, Bd. 8 (2015), 2, S. 405-406
https://doi.org/10.1016/j.brs.2015.01.293
Plane-wise sensitivity based inhomogeneous excitation fields for magnetorelaxometry imaging of magnetic nanoparticles. - In: Journal of magnetism and magnetic materials, ISSN 1873-4766, Bd. 380 (2015), S. 255-260
http://dx.doi.org/10.1016/j.jmmm.2014.09.007
Electrospun magnetic nanofibre mats - a new bondable biomaterial using remotely activated magnetic heating. - In: Journal of magnetism and magnetic materials, ISSN 1873-4766, Bd. 380 (2015), S. 330-334
http://dx.doi.org/10.1016/j.jmmm.2014.09.069
Automated slice-specific simultaneous z-shim method for reducing B1 inhomogeneity and susceptibility-induced signal loss with parallel transmission at 3T. - In: Magnetic resonance in medicine, ISSN 1522-2594, Bd. 74 (2015), 4, S. 934-944
http://dx.doi.org/10.1002/mrm.25461
High-resolution joint symbolic analysis to enhance classification of the cardiorespiratory system in patients with schizophrenia and their relatives. - In: Philosophical transactions of the Royal Society, ISSN 1471-2962, Bd. 373 (2015), 2034, 20140098, insges. 15 S.
https://doi.org/10.1098/rsta.2014.0098
Constructing predictive models of human running. - In: Interface, ISSN 1742-5662, Bd. 12 (2015), 103, 20140899, S. 1-11
https://doi.org/10.1098/rsif.2014.0899
Electrochemical and structural characterization of nanocomposite Ag y :TiN x thin films for dry bioelectrodes: the effect of the N/Ti ratio and Ag content. - In: Electrochimica acta, ISSN 1873-3859, Bd. 153 (2015), S. 602-611
http://dx.doi.org/10.1016/j.electacta.2014.12.020
Increasing the sensitivity of a personalized educational data mining method for curriculum composition. - In: Emerging issues in smart learning, ISBN 978-3-662-44187-9, (2015), S. 201-208
The paper introduces an improvement to an Educational Data Mining approach, which refrains from explicit learner modeling along with a recent refinement and evaluation. The technology models students' learning characteristics by considering real data instead of deriving their characteristics explicitly. It aims at mining course characteristics interdependencies of former students' study traces and utilizing them to optimize curricula of current students based to their performance traits revealed in their educational history. The recent refinement aims at increasing the sensitivity of the Data Mining technology by amplifying the influence of data, which shows interdependencies between the students' talents and weaknesses and weakening the influence of data from students, who perform about the same way in most courses (usually, very good or very poor in most subjects). Finally, the paper shows a validation approach by comparing the students' performance with the degree of similarity of their curriculum to the curriculum proposed by our technology.
Multichannel EEG with novel Ti/TiN dry electrodes. - In: Sensors and actuators, ISSN 1873-3069, Bd. 221 (2015), S. 139-147
http://dx.doi.org/10.1016/j.sna.2014.10.010