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Sensors 2013, 13(9), 12536-12547; doi:10.3390/s130912536
Article

Model-Based Spike Detection of Epileptic EEG Data

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Received: 17 June 2013; in revised form: 6 September 2013 / Accepted: 13 September 2013 / Published: 17 September 2013
(This article belongs to the Special Issue Biomedical Sensors and Systems)
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Abstract: Accurate automatic spike detection is highly beneficial to clinical assessment of epileptic electroencephalogram (EEG) data. In this paper, a new two-stage approach is proposed for epileptic spike detection. First, the k-point nonlinear energy operator (k-NEO) is adopted to detect all possible spike candidates, then a newly proposed spike model with slow wave features is applied to these candidates for spike classification. Experimental results show that the proposed system, using the AdaBoost classifier, outperforms the conventional method in both two- and three-class EEG pattern classification problems. The proposed system not only achieves better accuracy for spike detection, but also provides new ability to differentiate between spikes and spikes with slow waves. Though spikes with slow waves occur frequently in epileptic EEGs, they are not used in conventional spike detection. Identifying spikes with slow waves allows the proposed system to have better capability for assisting clinical neurologists in routine EEG examinations and epileptic diagnosis.
Keywords: epilepsy; slow wave; spike detection; spike classification; nonlinear energy operator epilepsy; slow wave; spike detection; spike classification; nonlinear energy operator
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Liu, Y.-C.; Lin, C.-C.K.; Tsai, J.-J.; Sun, Y.-N. Model-Based Spike Detection of Epileptic EEG Data. Sensors 2013, 13, 12536-12547.

AMA Style

Liu Y-C, Lin C-CK, Tsai J-J, Sun Y-N. Model-Based Spike Detection of Epileptic EEG Data. Sensors. 2013; 13(9):12536-12547.

Chicago/Turabian Style

Liu, Yung-Chun; Lin, Chou-Ching K.; Tsai, Jing-Jane; Sun, Yung-Nien. 2013. "Model-Based Spike Detection of Epileptic EEG Data." Sensors 13, no. 9: 12536-12547.



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