搜索资源列表
ICA
- 脑电波ICA算法进行脑电波提取有用的波段，用ICa 算法进行波形数据分析，得到有用矩阵及合适数据-ICA algorithm to EEG brain waves extracted useful band, with ICa algorithm waveform data analysis, a useful and appropriate data matrix
tztqzheng1
- EEG采集脑电波，然后用小波变换分析睁眼时产生脑电波的频率及各项数据-EEG brain waves collected and then analyzed using wavelet transform eyes when the frequency of brain waves generated and the data
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- 小波，功能分析，主要是图形分析方面，还可以图形压缩-matlab
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- 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
Wavelet_Denoise
- 小波去噪的几篇论文 Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform 小波去噪理论及MATLAB实现研究 小波分析在信号降噪处理中的应用 小波软阈值滤波在信号去噪中的有效性研究-Wavelet denoising of several papers Automatic identification and Removal of ocular artif
NewFolder
- matlab codes for EEG signal processing
alok
- this matlab program is for EEG signal classification
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
vks
- EEG signal classification using wavelet feature extraction
SourceCode
- The talk2tobii toobox is an interface between the Tobii eye-tracker and Matlab. This software along with psychtoolbox can be used to create contingent eye-tracking applications and facilitate multi-modal acquisition of EEG, NIRS and eye-tracking data
SampleEn
- 可以用来计算脑电信号肌电信号的样本熵，很好用-EEG can be used to calculate the entropy of a sample of EMG signal, that is great
wavelet_EEG
- 一个将小波变换应用到脑电的实用程序，对初学者很有帮助。-A wavelet transform applied to the EEG utility helpful for beginners.
EdF-read
- 快速定点独立分量分析算法编码能有效提取心电或脑电信号-Fast fixed-point independent component analysis algorithm can effectively extract the encoded ECG or EEG
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
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
- 脑电信号处理matlab 源程序，对脑电采集进行处理提取-EEG signal processing
eeg-lab
- a matlab code for the functions in eeg lab
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
Fftfile-of-EEG
- 可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。-FFT spectrum can be ext