Abstract
Healthcare technology produces today large sets of data every second. An information overload results from these enormous data volumes not manageable by physicians, e.g. in intensive care. Data visualization tools aim at reducing the information overload by intelligent abstraction and visualization of the features of interest in the current situation. Newly developed software tools for visualization should support fast comprehension of complex, large, and dynamically growing datasets in all fields of medicine. One of such fields is the analysis and evaluation of long-term EEG recordings. One of the problems that are connected with the evaluation of EEG signals is that it necessitates visual checking of such a recording performed by a physician. In case the physician has to check and evaluate long-term EEG recordings computer-aided data analysis and visualization might be of great help. Software tools for visualization of EEG data and data analysis are presented in the paper.
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© 2004 Springer-Verlag Berlin Heidelberg
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Rieger, J., Kosar, K., Lhotska, L., Krajca, V. (2004). EEG Data and Data Analysis Visualization. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_5
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DOI: https://doi.org/10.1007/978-3-540-30547-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23964-2
Online ISBN: 978-3-540-30547-7
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