A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram

作者：Indiradevi K P^*; Elias Elizabeth; Sathidevi P S; Nayak S Dinesh; Radhakrishnan K

来源：Computers in Biology and Medicine, 2008, 38(7): 805-816.

DOI：10.1016/j.compbiomed.2008.04.010

• automatic detection
• electroencephalogram (EEG)
• epilepsy
• epileptic spike
• interictal epileptiforru discharges (IEDs)
• wavelet analysis

We describe a strategy to automatically identify epileptiform activity in 18-channel human electroencephalogram (EEG) based on a multi-resolution, multi-level analysis. The signal on each channel is decomposed into six sub-bands using discrete wavelet transform. Adaptive threshold is applied on sub-bands 4 and 5. The spike portion of EEG signal is then extracted from the raw data and energy of the signal for locating the exact location of epileptic foci is determined. The key points of this process are identification of a suitable wavelet for decomposition of EEG signals, recognition of a proper resolution level, and computation of an appropriate dynamic threshold.

• 出版日期2008-7
• 单位河北医科大学