搜索资源列表
eeg matlab
- 脑电波信号特征提取
MF-DFA
- 多重分形去趋势分析,用于分析时间序列信号，如心电、脑电信号的多重分形-Multifractal detrended analysis for the analysis of time series signals, such as ECG, EEG multifractal
eeg_toolbox_v2.3
- EEG toolbox : EEG toolbox for matlab for processing EEG signals.
6
- 心电eeg和脑电ecg的数据，经matlab处理过了，直接用load就可以用了-datas of eeg and ecg you can use them just throw the function load
mre
- 基于李雅普诺夫的睡眠脑电动力学分析 核心算法程序。-Lyapunov-based kinetic analysis of sleep EEG procedures for the core algorithm.
EBP-chaoticPrediction
- This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
High_Accuracy_Classification_of_EEG_Signal
- 里面有了巧妙的方法提高了脑电信号分类准确性，有做EEG分类的可以看看。-There has been a clever way to improve the classification accuracy of EEG, and EEG classification can be done to see.
EEGSIGNALPLOTTER
- program to plot 8 channel at a time of eeg Signal
1
- 将原始脑电信号载入到matlab中的matlab程序设计-The original EEG loaded into matlab programming in matlab
alok
- this matlab program is for EEG signal classification
PhaSpaRecon
- 应用多变量相空间重构对分析脑电信号Multivariate analysis of the phase space reconstruction of the EEG-Multivariate analysis of the phase space reconstruction of the EEGMultivariate analysis of the phase space reconstruction of the EEG
Biomed-Reader
- These functions have been developed to watch and analyze EEG/Video/Accelero(3A)/Magneto(3M) data in the context of the Epimouv/Capametrim project. The project aim is to recognized epileptic movement disorders by determining regions of interests on
ica-matlab
- 脑电信号 分析 fast ica去噪，去除心电，眼电，肌电，效果不错-fast ica for eeg
EmotivToolBox_submittedV1
- emotiv headset toolbox for EEG raw data aqusition
chanlocs
- EEG电极位置信息，用于EEGLAB处理时读入电极信息，其他个数的电极可参考该文件的格式，将电极位置按格式读取，即可导入到eeglab(electrode information of EEG)
matlab基频分析方法
- 脑电信号处理合集，里面有一些基础代码，献给大家(EEG Signal Management)
p300soft
- 本MATLAB代码主要用于EEG脑电信号预处理和单次提取(Single extraction of EEG EEG signal)
EMG_EEG_@electricalmatlab
- EMG EEG electrical matlab
eeg feature extraction
- 用于eeg信号预处理的matlab程序，可以用于特征提取。
EEG-Emotion-classification-master
- DEAP数据集下的情绪识别分类，包括特征提取和分类(Emotion recognition classification based on deap data set, including feature extraction and classification)