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runica
- 提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated
12f629-led-adjust
- 超简单断电复原3档亮度调光程序,每次开机都是低亮，不晃眼 低亮不是使用Pwm，而是使用电阻漏一部分电流给LED，超省电，无频闪，亮度随便调 源程序是东成的-3 super simple file recovery power brightness dimming process, each boot are low-light, non-dazzling light rather than the use of low-Pwm, but part of the use of resist
BSS
- 盲源分离算法的几篇文章应用 【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
ica
- fastica算法，去除眼电，实现对脑电的去噪处理-fastica algorithm to remove the EOG
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
Eye
- 本代码用于眼电信号采集，采用电极传感器，对接受的信号进行放大，采集，处理，并提取眼电信息-This CODE IS USED FOR EYE information accqusition. so this we can distinguish illness from the health person .
EOG-and-EMG
- -1.伪迹减法的matlab实现 ¨要求用仿真数据（随机信号＋EOG仿真）检验 ¨EOG仿真信号根据眼电特性设定 2-2.肌电伪迹的去除仿真实验 ¨要求用真实信号+仿真伪迹 ¨仿真伪迹：通过查阅资料确认伪迹频率范围或特性，并用公式仿真。 2-3.请简述眼电是如何产生的？--1 Artifact subtraction matlab implementation requires simulation data (random signal+ EOG simulati
manSVM
- 这是一款基于支持向量机多分类的眼电辅助肌电的人机交互编程，值得下载学习。-EOG EMG assisted interactive program which is a multi-classification based on support vector machines, it is worth downloading learning.
EEG-LMS
- 可以去除脑电中的50Hz工频干扰，同时可以剔除部分生理伪迹，如眼电、肌电伪迹。- can be removed the 50Hz frequency interference of EEG, and can eliminate part of the physiological artifacts such as EOG, EMG.
ADJUST
- eeglab中使用ICA算法后的自动伪迹识别插件adjust，可以自动识别独立成分的伪迹成分，可用于去除眼电、心电等伪迹，解压后安装在eeglab/plugins文件夹中即可在eeglab-tools中调用(independent component analysis algorithm)
preprocess
- 对脑电信号进行预处理，伪迹移除，去除眼电，肌电，眼动等伪迹(The EEG is pretreated and artifacts removed)
去眼电
- 脑电信号中的眼电信号包括垂直眼电和水平眼电，该函数可以去除(Removal of EEG signals by electro eye)
EEGECGEOG
- STM32通过SPI通信控制ADC采集脑电、眼电、心电数据，并将得到的数据通过串口与蓝牙通信后将其发送至PC端进行处理(STM32 collects the data of EEG, eye and ECG through the SPI communication control ADC, and sends the obtained data to the PC side after communication through the serial port.)