Abstract
The paper deals with the designing and implementation of a computer-aided system capable to detect seizures by inspecting EEG records. The system is based on modern signal processing tools, which are able to give a time-frequency representation of a signal. Then using time-frequency representation of EEG data, feature extraction and finally classification of neurological disorders is carried out. The application should be treated as a decision support computer system which was designed to help neurologists in detecting seizures. With the help of such a software the time needed for analysing EEG records can be significantly reduced. The research was carried out using real EEG recordings of epileptic patients as well as healthy subjects prepared with the cooperation of the medical staff of the Ward of Neurology and Strokes of the Provincial Hospital of Zielona Góra, Poland.
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Rutkowski, G., Patan, K., Leśniak, P. (2014). Computer-Aided On-line Seizure Detection Using Stockwell Transform. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_23
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DOI: https://doi.org/10.1007/978-3-642-39881-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39880-3
Online ISBN: 978-3-642-39881-0
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