Title :
Epileptic seizure detection in EEG recordings using phase congruency
Author :
Wongsawat, Yodchanan
Author_Institution :
Department of Biomedical Engineering, Mahidol University, 25/25 Phuttamonthon Sai 4 Rd., Salaya, Nakhonpathom 73170, Thailand
Abstract :
This paper presents the use of phase congruency to robustly detect the epileptic seizure. Phase congruency is calculated from log Gabor wavelets. Numbers of spikes detected from the phase congruency of two classes of EEG data (epilepsy and seizure free) are used as the features of interest. By using only one dimensional features, the detection accuracies of the proposed method are comparable with the existing magnitude-based methods.
Keywords :
Biomedical measurements; Computer vision; Data acquisition; Databases; Diseases; Electroencephalography; Epilepsy; Phase detection; Robustness; Wavelet transforms; Algorithms; Artificial Intelligence; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649306