Based on the time-frequency analysis to distinguish different epileptiform EEG signals
Time-frequency analysis is a robust signal processing tool for the estimation of time-frequency relation and is widely used to analyze electroencephalographic (EEG). EEG recordings provide valuable information about electrical activity of the neurons in the brain, so it is an important tool in studying and recognizing several neurological disorders like epilepsy. The main goal of this paper was to distinguish different characteristics EEG between pilocarpine-induced and penicillininduced epileptiform discharges using time-frequency analysis. The results showed that in the course of epilepsy, changes of the frequency and the energy were characteristic. High frequency and high energy distribution period was unsynchronized in pilocarpine-induced epileptiform discharges, especially before onset, EEG appeared the highest frequency, but energy was the lowest. However, frequency was lower in the whole process and energy increased significantly after the attack in penicillininduced epileptiform discharges. These differences between pilocarpine-induced and penicillin-induced epileptiform discharges may relate to respective excitatory mechanism which needs studying further.
time-frequency analysis pilocarpine epileptiform discharges penicillin
Guo Hua Xia Yang Liu Fei Liu xiaoqin Dai shengjun Lei Lei Wang yuqing
Perception-Motor Interaction Lab,School of life science and technology,University of Electronic Science and Technology of China (UESTC) Chengdu,China
国际会议
北京
英文
1-3
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）