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ICA2000_reprint.doc
- 具有带通选择性的ICA算法可以改善对于带通时间序列的分离以及对于周期性脑功能响应信号的提取. 因此本文提出的方案可将被估计信号, 如:周期性响应信号以及具有平滑空间分布的脑功能激活区, 的先验特性以特征选择的方式加入ICA算法用以提高对此类信号的估计-with selective ICA algorithm can be improved for the band pass time series, as well as for the separation of brain function
YOLi_ICASSP05
- 本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) feature selection filtering program
bet2.rar
- FSL这款软件所使用的脑部软组织提取文献，对大部分脑部MRI图像均可达到比较好的分割效果,The software used by FSL brain extraction of soft tissue literature, the majority of the brain MRI image segmentation can achieve better results
CT
- 脑部CT图像自动诊断系统，包括特征提取和分类。特征采用灰度共生矩阵。-Automatic diagnosis system of brain CT images, including feature extraction and classification.
Feature-Extraction--in-Brain--
- 在线脑机接口中脑电信号的 特征提取与分类方法-Feature Extraction Classification of in Brain Computer .pdf
brain
- VC++环境下脑部医学影像的特征提取，包括代码及图片-VC++ environment, the brain medical image feature extraction
ractio
- T2加权人脑MR体数据的脑提取T2-weighted brain MR brain volume data extraction-T2-weighted brain MR brain volume data extraction
Epilepsy-EEG-report---
- 在学习了数字信号处理、信号与系统、建模与仿真及其医学应用等课程的基础上， 学习一类典型的生物医学信号--脑电的测取、FFT 频谱分析、以及应用数字滤波方法提 取脑电的频带（8－13Hz）信号及其特性分析。-Epilepsy section of the brain wave extraction and analysis of characteristics of the course design report
FFT-hypprg
- Brain waves extraction, Brain waves energy and brain laterality using Fast Fourier Transform
Scp
- 这是对脑电波处理的共空间模式的matlab程序，主要是提取脑电波的空间特征，并进行降维，然后用支持向量机进行分类。-This is the space of brain wave processing of model of the matlab, mainly is the space of the brain wave characteristic extraction, and dimensional reduction, then classified by support vector
EEG-based-identification-method
- ：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个 事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑 电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来 进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数 据长度、不同的波段对试验者进行识别率验证分析。
EEG--classification
- 脑电信号的提取和特征分类还有滤波处理，适用于脑机接口技术中-EEG extraction and feature classification filtering process, applied to brain-computer interface technology
LIF
- matlab程序进行大脑脑白质二维的快速分割与提取-matlab program for brain white matter two-dimensional fast segmentation and extraction
bst
- brain extraction tool for sku-brain extraction tool for skull
2013102242160953
- 人脑图像边缘提取,比较好用的人脑图像边缘提取matlab仿真程序。-The human brain image edge extraction, relatively easy to use the human brain image edge extraction matlab simulation program.
BRAIN-TUMOR
- The graphical user interface attached gives the output for brain tumor detection by preprocessing feature extraction and classification.it also gives whether the image is normal or affected
BrainStrokeSgementation
- brain stroke area will be detected by this program ,it will undergoes curvlet diagnosis ,the kmeans segmentation .the segmented image will go for feature extraction
1198d8ce935e
- Medical image processing is the most challenging and emerging field now a days. Processing of MRI images is one of the part of this field. This paper describes the proposed strategy to detect & extraction of brain tumour patient’s MRI scan im
automatic extraction of sulci from brain
- automatic extraction of sulci from brain mri
python-brain-rhythms-master
- Python-brain-rhythms Is an open source code developed in the Signal Processing and Pattern Recognition Research Group at the Universidad Nacional de colombia for preprocessing EEG signals and obtain, analyze, and graph brain rhythms. Python-br