摘要
为了更准确地预测癫痫,本文提出了一种大鼠癫痫脑电信号的采集方案。首先采集正常Wistar大鼠4个大脑皮层的脑电信号,并进行比较,确定最适合采集脑电信号的大脑皮层为初级躯体感觉皮层(PrimarySomatosensoryconex。PSC)。其次,制备癫痫大鼠,采集癫痫发作时的PSC脑电信号,并进行时域和频域分析。结果发现PSC癫痫脑电信号的时域幅度变化非常明显,其中5~14Hz频段的脑电信号能量占总能量的比重变化最大,并且5~14Hz频段的能量在癫痫发作的不同阶段明显不同。本文提出可以通过观察脑电信号的时域幅度变化或分析5~14Hz频段能量的变化趋势获取不同发作阶段的脑电信号,用于准确地预测癫痫。
To predict epilepsy more exactly, an acquisitionscheme is proposed to collect epileptic electrocorticogram (EEG) signals of rats in this paper. The EEG signals from four cortices of normal Wistar rats were collected and compared. The comparative results indicated primary somatosensory cortex (PSC) was the most suitable cortex for the acquisition of EEG signals. Epileptic rats were prepared, and the EEG signals of PSC were collected when epileptic seizures occurred. Time domain and frequency domain analysis demonstrated that the temporal amplitude of EEG signals of PSC changed significantly, and that in the frequency domain, the largest change was found in the proportionof the energy of 5- 14 Hz frequency band to total energy, and that energies of the 5-14 Hz frequency band were significantly different at different stages of seizures. EEG signals at different stages of seizures could be collected for exact epileptic seizure prediction by observing the changes of temporal amplitudes of EEG signals or analyzing the change trend of energies of 5- 14 Hz frequency band.
出处
《中国医学物理学杂志》
CSCD
2016年第2期118-121,127,共5页
Chinese Journal of Medical Physics
基金
国家自然科学基金(31271056)
国家自然科学基金青年基金(81401539)
关键词
癫痫
脑电信号
初级躯体感觉皮层
时域分析
频域分析
epilepsy
electroencephalogram signal
primary somatosensory cortex
time domain analysis
frequency domainanalysis