Title :
Evaluation of a BSS algorithm for artifacts rejection in epileptic seizure detection
Author :
Liu, Hui ; Hild, Kenneth E., II ; Gao, J.B. ; Erdogmus, Deniz ; Príncipe, José C. ; Sackellares, J. Chris
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA
Abstract :
A data efficient blind sources separation (BSS) algorithm has been applied to preprocess intracranial EEG (ECoG) for artifact rejection. After artifacts correction a recurrence time statistics T1 feature was evaluated from the ´cleaned´ data. Seizure detection performance was compared between BSS preprocessing and without preprocessing. Test results show that in a data set, for a detection rate of 96%, the false alarm rate dropped from 0.13 per hour without BSS preprocessing to 0.08 with preprocessing. For the other set of data, the false alarm rate dropped from 0.34 to 0.21 at a detection rate of 100%.
Keywords :
blind source separation; electroencephalography; medical signal detection; medical signal processing; artifacts rejection; data efficient blind sources separation; epileptic seizure detection; intracranial EEG signal processing; Blind source separation; Electroencephalography; Electrooculography; Epilepsy; Independent component analysis; Signal processing; Signal processing algorithms; Source separation; Statistics; Testing; blind source separation (BSS); epileptic seizure; independent component analysis (ICA); recurrence time statistic;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403098
