1) Cortical power spectra
皮层脑电功率谱
2) EEG frequency power spectrum
脑电功率谱
1.
Changes of EEG frequency power spectrum in newborn piglets with hypoxic-ischemic brain damage during selective moderate head cooling therapy;
头部低温治疗新生猪缺氧缺血性脑损伤脑电功率谱的变化
2.
Effect of isoflurane on EEG frequency power spectrum and brain temperature during focal ischemia/reperfusion in rats;
异氟醚对大鼠局灶性脑缺血再灌注损伤脑电功率谱的影响
3) EEG power spectrum
脑电功率谱
1.
Their results of CT, MRI, BAEP and EEG power spectrum at the follow-up were analyzed.
方法 自1986年5月～1999年12月,对142例严重脑外伤病人集中后续治疗,并进行头颅CT、MRI、脑干诱发电位及脑电功率谱随访研究。
4) EEG power spectral analysis
脑电功率谱
1.
After two months survival period ,host animals were received EEG power spectral analysis and morphological study .
0 5 ) ,脑电功率谱曲线两侧明显不对称。
6) ECoG
皮层脑电
1.
Phase-space reconstruction of ECoG time sequences and extraction of nonlinear characteristic quantities;
皮层脑电时间序列的相空间重构及非线性特征量的提取
2.
In order to classify electrocorticogram(ECoG) signals of different mental tasks in a brain-computer interface(BCI) system,a method based on the combination of genetic algorithm (GA) and multilayer perceptron neural network(MLPNN) was presented.
为了对脑-计算机接口(BCI)中不同思维任务下的皮层脑电(ECoG)信号进行分类,提出了基于遗传算法(GA)和多层感知器神经网络(MLPNN)的混合方法。
3.
Brain is a very complex non-linear system, and electroencephalograph (EEG) and electrocorticogram (ECoG) are also non-stationary and nonlinear in nature, signal processing methods based on linear and stationary assumptions, although has obtained important result, can not grasp the entire picture of neuroscience.
人脑是一个高度复杂的非线性非平稳系统,所以脑电图和皮层脑电图也是非线性非平稳信号,基于线性和平稳假设的分析方法尽管取得了一些重要的研究成果,但是无法对神经系统进行更加深入的解释。
补充资料：皮层功率谱密度（corticalpowerspectrum,CPS）
皮层功率谱密度（corticalpowerspectrum,CPS）
为脑电波EEG自相关函数（ACF）的傅里叶变换，是随频率分布的皮层脑电波的功率密度。设EEG信号为S(t)，其自相关函数为
`R(\tau)=int_-oo^ooS(t)S(t-\tau)dt`
则功率谱密度为
$S(f)=int_-oo^ooR(\tau)e^{-i\omega\tau}d\tau$
CPS是表征脑活动的重要物理量。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条