2004 | OriginalPaper | Buchkapitel
EEG Data and Data Analysis Visualization
verfasst von : Josef Rieger, Karel Kosar, Lenka Lhotska, Vladimir Krajca
Erschienen in: Biological and Medical Data Analysis
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.