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Quintero-Rincón et al., 2016 - Google Patents

Multivariate Bayesian classification of epilepsy EEG signals

Quintero-Rincón et al., 2016

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Document ID
12210171555667465839
Author
Quintero-Rincón A
Prendes J
Pereyra M
Batatia H
Risk M
Publication year
Publication venue
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)

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The classification of epileptic seizure events in EEG signals is an important problem in biomedical engineering. In this paper we propose a Bayesian classification method for multivariate EEG signals. The method is based on a multilevel 2D wavelet decomposition …
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Classifications

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    • A61B5/7253—Details of waveform analysis characterised by using transforms
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    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy
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