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CSPfilter
- Common spatial pattern 公共空间模式滤波是处理脑电信号的一种方法,它可以使两类想象运动EEG的协方差之间的差距最大化,便于后期的分类处理。-Common spatial pattern model of public space filtering is a method of EEG signal processing, it can make two types of movement EEG covariance imagine the gap between the
complex618 脑电信号的复杂度计算
- 脑电信号的复杂度计算,有文档和多个matlab程序实例-EEG complexity calculation, there are documents and multiple instances of matlab program
Fisher
- 用MATLAB做的Fisher线性分类器,处理脑电信号,数据为bci竞赛数据-MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci
eegwave
- 基于小波包分解的脑电信号特征提取.格式是caj后缀的,大家看的时候可能得有CAJViewer 这个软件-Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer
av_sub
- 脑电(EEG)是一种反映大脑活动的生物电信号,由于它具有很高的时变敏感性,在采集时极易受到外界的干扰。如眼球运动、眨眼、心电、肌电等都会给真实的脑电信号加入噪声(伪迹)。这些噪声给脑电信号的分析处理带来了很大的困难。从剔除EEG中的各种伪迹到去除噪声的效果评估研究者们都提出了很多方法。本文提出matlab除各种脑电信号伪伪迹减法- As a kind of physiological signals, the Electroencephalogram(EEG)represents the ele
EEGprocessing
- 脑电信号是脑神经细胞电生理活动在大脑皮层或头皮表面的总体反映 ,脑电信号的研究 一直是生物医学领域难度很大且倍受人们关注的课题。在简要回顾了脑电研究的历史和现状的基础上 ,重点论述了混沌分析法、人工神经网络(ANN)分析法、小波变换法、Wigner 分布等在脑电信号分析和处理中的应用情况。最后展望了脑电信号研究的发展应用前景。-EEG is a brain cell electrophysiological activity in the cerebral cortex or the sca
a
- 最近在研究脑电信号的处理 同事自己也收集了一些资料希望和大家分享-Recent studies dealing with EEG colleagues collected themselves would like to share some information
MD18
- 基于视觉诱发电位的脑电信号的频率和相位的检测,用于得到受试者的看到的数字。-SSVEP brain signal anlaysis codes.
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
PCATEST
- pca分类程序,主要用于脑电信号的分类。具有较好的分类精度!-pca classification procedures, mainly for the classification of EEG signals. Has better classification accuracy!
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
csp2
- 脑电信号分析中的空间滤波器,分析节律信号非常有效。-EEG analysis of the spatial filter, analyze rhythm signal is very effective.
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
mu-fisher
- 基于mu节律能量的140组脑电信号的决策分类,从3s到9s之间不同决策时间点的识别率,最高为85 -140 mu rhythm-based energy group decision-making EEG classification, from 3s to 9s different decision points in time between the recognition rate up to 85
hwEEGECG_RLS
- 脑电信号预处理中使用自适应滤波器的原理对脑电信号中的心电信号进行滤除,通过对比观察就会发现自适应滤波器的原理的效果的优势-EEG using adaptive pre-filter theory of the EEG in the ECG filter, you will find by comparing the observed effect of the principle of adaptive filter advantages
脑电
- 对不同状态下的脑电信号,进行简要的处理。(The EEG signal is briefly processed)
去基线漂移
- 脑电信号中噪声信号,基线漂移的去除,获取干净的信号(EEG Baseline drift removal)
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)
脑电连续处理程序
- 脑电信号处理流程,滤波,特征提取,意图识别(EEG signal processing, filtering, feature extraction, intention recognition)
基于方差和深度学习的脑电信号分类算法
- 从深度学习方面解析脑电信号,通过方差计算脑电特征(Analysis of EEG signals from deep learning and calculation of EEG characteristics by variance.)