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.
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.
eeg_toolbox_v2.3
- 本文件是脑电信号分析MATLAB工具箱，是做信号处理的必备工具，尤其针对生物医学信号处理，更合适。-This file is EEG analysis MATLAB toolbox, is the necessary tool for signal processing, especially for biomedical signal processing, more appropriate
EEGSIGNALPLOTTER
- program to plot 8 channel at a time of eeg Signal
NewFolder
- matlab codes for EEG signal processing
alok
- this matlab program is for EEG signal classification
class
- EEG signal classification by SVM
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
05572430
- 提出了一种改进的独立分量分析方法对脑电信号进行去伪迹消噪，取得了相当不错的效果-An improved method of independent component analysis to EEG artifact noise cancellation, very good results achieved
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
deltaforthnet131
- EEG signal classification using wavelet feature extraction
vks
- EEG signal classification using wavelet feature extraction
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)
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)