期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 63, 期 12, 页码 2595-2606出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2016.2556425
关键词
Epilepsy; high-frequency oscillation; stereoelectroencephalography (SEEG); wavelet transform; whitening
资金
- ANR [ANR-13-TECS-0013]
- FHU EPINEXT
- A*MIDEX project - Investissements d'Avenir French Governement [ANR-11-IDEX-0001-02]
- France Life Imaging network [ANR-11-INBS-0006]
- National Institute of Neurological Disorders and Stroke under National Institutes of Health [R01NS089212]
- National Institute of Biomedical Imaging and Bioengineering under National Institutes of Health [R01EB009048]
- Agence Nationale de la Recherche (ANR) [ANR-13-TECS-0013] Funding Source: Agence Nationale de la Recherche (ANR)
Background: High-frequency oscillations (HFOs) are considered to be highly representative of brain tissues capable of producing epileptic seizures. The visual review of HFOs on intracerebral electroencephalography is time consuming and tedious, and it can be improved by time-frequency (TF) analysis. The main issue is that the signal is dominated by lower frequencies that mask the HFOs. Our aim was to flatten (i.e., whiten) the frequency spectrum to enhance the fast oscillations while preserving an optimal signal to noise ratio (SNR). Method: We investigated eight methods of data whitening based on either prewhitening or TF normalization in order to improve the detectability of HFOs. We detected all local maxima of the TF image above a range of thresholds in the HFO band. Results: We obtained the precision and recall curves at different SNR and for different HFO types and illustrate the added value of whitening both in the TF plane and in time domain. Conclusion: The normalization strategies based on a baseline and on our proposed method (the H-0 z-score) are more precise than the others. Significance: The H-0 z-score provides an optimal framework for representing and detecting HFOs, independent of a baseline and a priori frequency bands.
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