搜索资源列表
Forest
- 随机森林基于随机森林方法的异常样本检测方法方法根据相关文献提供的实验结果,将54株H5N1病毒株按其对哺乳动物的毒力强弱分为高毒力组和低毒力组,在NCBI Genbank数据库中下载HA基因序列,用随机森林模型完成主要变异氨基酸位点的筛选。-Random forestHigh-dimensional EEG features selection based on random forests algorithm Application of Random Forest on Selecti
EEG-cortical-imaging
- 我们推出基于矢量场正规化的方法通过扩散去噪拉普拉斯的数据，从而获得稳健估计。-We introduce a method based on vector field regularization through diffusion for denoising the Laplacian data and thus obtain robust estimation.
New-folder
- for eeg signal feature extract
Brain-bench-Pre-Read
- EEG ANALYSIS USING TIME PHASE SYNCHRONY
yq
- 任何一个检测的信号都不可避免地受到干扰源的影响，脑电检测中的干扰源主要分为体内体外两大类。 体外干扰包括检测系统本身（如电极与头皮的接触阻抗的变化）、交流电源和环境中的电磁干扰源。把脑电图机的接地端与地线向量，并保持电极与头皮的良好接触，可以有效地抑制工频干扰。在电磁屏蔽室中进行脑电采集，能有效地避免环境中的电磁干扰。-eeg eog
Tanwani_EMBC_14
- Rewards-Driven Control of Robot Arm by Decoding EEG Signals.
conference
- Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform -Semi-Automatic Epilepsy Spike Detection EEG Signal Using Genetic Algorithm and Wavelet Transform
ARfenxi
- 癫痫和正常脑电的AR模型、AR谱及特征比较（附部分代码）-Epilepsy and AR model, AR spectrum and normal eeg feature comparison (with part of the code)
pro-all-1st-object
- psd of eeg signal.power spectral density of eeg. the eeg data is for the 20 year old person
time-domain
- eeg in time domain psd of using welch method-eeg in time domain psd of using welch method
test1
- a source code about extracting mu rhytm EEG signal-a source code about extracting mu rhytm EEG signal
wavelet-coherence-master12
- 关于脑电信号处理，的一个类似于eeglab的应用包，可在matlab上直接使用-About EEG signal processing, a similar eeglab application package, can be used directly on the MATLAB
Entropy_Approximate
- 计算时域信号的近似熵程序,用于脑电信分析中的特征提取，计算脑电信号的近似熵-Calculate the time domain signal approximate entropy program features used in telecommunications analysis of brain extracts, calculated EEG approximate entropy
entropy
- to find entropy Of eeg signal
10.1.1.402.6015
- Artifact Removal EEG Signals-Artifact Removal EEG Signals
EPILAB_v1
- 基于Matlab的脑电信号处理的开源GUI，功能强大，可以同时生产30余种脑电特征。(EEG signal processing GUI based on Matlab, whiuch can produce more than 30 kinds of EEG features.)
OpenBCI Applications
- 关于脑机接口OpenBCI的有趣的可实现的应用，可帮助掌握运用EEG信号改变生活的能力。(An interesting and practical application of brain computer interface OpenBCI can help to master the ability of using EEG signals to change life.)