搜索资源列表
ELM
- 基于机器学习方法的脑电信号自动分类研究 基于机器学习方法的脑电信号自动分类研究-Automatic classification based on machine learning method of eeg signals
feature-extraction(ESN)
- 关于脑电信号特征函数的计算 关于脑电信号特征函数的计算-Automatic classification based on machine learning method of eeg signals esn
spectrum_power
- 功率谱分析，对采集的脑电信号进行分频段，能量的计算-ower spectrum analysis, the collection points and spectrum of eeg signals, the calculation of energy
dataset_editing
- 实现基于NeuroScan平台采集的脑电信号的数据分类、打标等功能-Realize the functions of data classification and marking, etc.of EEG collected by NeuroScan platform
eeglab_dipplot
- 脑电信号的实时解析，其中包括部分源代码，希望有帮助-Real-time analysis of EEG, including part of source code.
Renyi
- 计算一维时间序列的Renyi熵，可作为脑电信号的特征提取方法，从而对脑电的复杂度进行分析-The Renyi entropy of one dimensional time series can be calculated as a feature extraction method of EEG signal, which can be used to analyze the complexity of EEG.
matlab-read-edf-file
- 用MATLAB读取.edf文件的代码,可用于进行对脑电信号的分析。-the program is .edf format ,which can be readed by matlab and used to analysized brainwave signals.
naodianxinhaojiazai
- 用于在matlab加载脑电信号，进行后步的分析-Is used for loading in eeg signals in matlab, the analysis of the hind leg
Arduino
- 脑波程序开发组件，实现脑电信号可视化，便于比较分析-Brainwave program development component
csp
- 用csp对脑电信号就行特征提取的matlab代码-EEG with csp line feature extraction matlab code
SampEn
- 用样本熵对脑电信号就行特征提取的matlab代码-With sample entropy EEG line feature extraction matlab code
jiangcaiyang
- 采集的脑电信号数据量大，运算速度慢，所以要进行降采样，以提高运算速度-Large amount of data acquisition of eeg signals, computing speed is slow, so to send a sample, in order to improve the computing speed
FastICA
- 快速独立成分分析算法，尤其适用于脑电信号解混。-Fast ICA
KurtNoiseDelete
- 利用峭度的特性删除进过解混后的噪声信道，更适用于脑电信号的处理。-Using characteristic of kurtosis to delete nongaussianity noise.
KaiserWindow50HZ
- 使用Kaiser窗祛除50HZ工频干扰，用于脑电信号分析的预处理部分。-Use the Kaiser window to remove 50 hz frequency interference.
CCA
- 一些关于脑电信号中噪声的去除ICA算法的实现，所用脑电信号为SSVEP试验。只是一些小程序，还有很多不足，望补充-Some implementations on removing ICA algorithm of noise in EEG, EEG is used SSVEP test. Just some small programs, there are many shortcomings, hope others added this
ELM
- ELM算法，可用于脑电信号分析，也可以用于其他类型的算法分析-ELM algorithm and can be used for eeg analysis, can also be used for other types of algorithm analysis
G_P
- g-p算法，用来计算关联积分，评价脑电信号的离散程度- Used to calculate the correlation Evaluation of discrete degree of brain electrical signalintegral
ADdata_readYUAN
- 用来将时间序列平均分为多组时间序列，可以截取脑电信号- Used to time series is divided into multiple sets of time series , can intercept eeg signals
Granger-causality
- 格兰杰因果分析算法，用于编程实现脑电信号之间的因果性检测，其中有两种算法。一种基于线性自回归，一种是对前一种的改进-Granger causality analysis algorithm for programming the detection of causality between the EEG, which has two algorithms. Based on linear autoregression, one is to improve the former' s