搜索资源列表
hwEEGECG_ica
- 关于脑电信号预处理中的从脑电信号中滤除心电信号,用的是独立分量分析的方法,编写的程序很简单明了,并画出图形进行直观的观察对比-Pretreatment on EEG signals from the brain to filter the ECG, using independent component analysis method, a program written in very simple and intuitive observation to draw graphics comp
SPIHT-ECG-
- 在matlab中实现了对SPIHT算法的编写,该程序针对一维信号,例如心电信号、脑电信号的处理。-This program achieved the SPIHT algorithm in Matlab,the program for one-dimensional signals, such as ECG, EEG signal processing.
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-signals
- 从脑电信号的分析出发,论述了频域分析、时域分析等脑电图分析中常用的信号分析方法和特点,特别介绍了Wigner分布、小波变换和匹配跟踪等时频分析方法、人工神经网络和非线性动力学方法在脑电信号分析和处理中的应用情况。 -From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal a
xbcseeg02
- 自己编写的基于要所感知的脑电信号预处理,代码效率良好,而且程序架构简单易行。-I have written EEG signal preprocessing based on the perceived good code efficiency, and procedural framework is simple.
arsvm2
- 利用ar模型和近似熵方法对癫痫脑电信号进行识别处理-Ar model and approximate entropy method epileptic EEG recognition processing
filter
- 对脑电信号进行各种滤波处理,包括高通、低通、带通-Various filtering EEG signal processing, including high-pass, low-pass, band-pass
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
juleifenxidenaodianfenxi
- 基于聚类分析的脑电信号数据处理,详细讲了脑电的基础知识然后讲了具体的脑电采集,然后是分类-EEG data processing based on cluster analysis, saying more about the basics of the EEG and then talk about specific EEG acquisition and classification
matlab-egg
- 运用小波变换的方法对脑电数据进行处理,进行脑电信号分解和信号重置-Wavelet transform EEG data processing, EEG decomposition and signal reset
ica_demo
- 用盲源分离的方法处理脑电信号-Blind source separation method using EEG signal processing
preprocess
- 对16导联脑电信号进行预处理,设计陷波器去除50Hz工频,采用低通滤波及求和平均两种方法去除伪迹,同时作出16导联脑电信号预处理后的频谱图-On the 16-lead EEG preprocessing, design notch filter to remove 50Hz frequency, low-pass filtering and summation of the average two ways to remove artifacts, while making 16-lead E
fenleiqi23
- 这个程序是在matlab2013b软件上运行成功,有需要的可以下载下来参考下,程序的内容为用MATLAB做的Fisher线性分类器,处理脑电信号,数据为bci竞赛数据-This program is run on matlab2013b software successfully, there is need to download the reference, the contents of the program is done using MATLAB Fisher linear clas
EEG
- 脑电信号提取及特征分析 生物医学工程及信号处理专业可以-EEG feature extraction and analysis
EEG-preprocessing
- 这是关于脑电信号预处理的程序,希望对大家有帮助-This is about the brain electrical signal preprocessing procedure, I hope it can help you
xiaobofenxinaodian
- 利用小波变换将带有机械噪声等噪声的脑电信号进行小波处理,先分解信号,然后根据分解后的信号进行去噪处理,然后重构脑电信号-Using wavelet transform with EEG machinery noise noise wavelet processing to decompose signals and then de-noising based on signal decomposition, and then reconstructed EEG
ICA
- 里面包含了ICA算法和FASTICA算法,主要用于信号处理,如脑电信号,心电信号的伪迹去除。-It contains the ICA algorithm and FASTICA algorithm, mainly used for signal processing, such as EEG, ECG artifact removal.
eeg
- 可以对脑电信号进行预处理,并且可以建立脑网络-EEG signal processing
New-wavelet-thresholding-method
- 脑电信号的小波软阈值处理,小波硬阈值处理和一种新的小波阈值处理。-Wavelet soft thresholding EEG, wavelet thresholding and hard A new wavelet thresholding.
ICA
- ICA matlab源代码,可以用于处理EEG信号进行脑电信号研究-ICA matlab source code can be used for processing EEG signal electrical brain research