搜索资源列表
eeg_toolbox_v2.3
- EEG toolbox : EEG toolbox for matlab for processing EEG signals.
EEGMATLAB
- 一个用matlab小波分析自发EEG信号的程序-A wavelet analysis using matlab process of spontaneous EEG signals
RhythmsOfTheBrain
- rhythms of brai, this is about EEG signals
DigitalSignalProcessingCourseware
- 数字信号处理在机械制造中，基于 FFT算法的频谱分析仪用于振动分析和机械故障诊断；医学中使用数字信号处理技术对心电(ECG)和脑电(EEG)等生物电信号作分析和处理；数字音频广播(DAB)广泛地使用了数字信号处理技术。可以说，数字信号处理技术已在信息处理领域引起 了广泛的关注和高度的重视。-Digital signal processing in the machinery manufacturing, FFT algorithm based on a spectrum analyzer f
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
cr1122
- this file about CLASSIFICATION OF CHAOTIC SIGNALS USING HMM CLASSIFIERS: EEG-BASED MENTAL TASK CLASSIFICATION
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!
ss
- REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB. EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) sign
bci-labview
- this about the brain computer interface using labview.the eeg signals are simulated and viewed here there by comuniating human brain to the computer
hwEEGECG_ica
- 关于脑电信号预处理中的从脑电信号中滤除心电信号，用的是独立分量分析的方法，编写的程序很简单明了，并画出图形进行直观的观察对比-Pretreatment on EEG signals from the brain to filter the ECG, using independent component analysis method, a program written in very simple and intuitive observation to draw graphics comp
Untitled
- EEG信号多分辨率分析,可以用改文件对EEG信号进行小波处理，即过滤去噪等。-EEG signals analysis
draw1002
- 该程序主要用于脑电信号EEG的小波分析，进行5层小波分析重构系数-The program is mainly used in EEG signals of EEG wavelet analysis, 5 layer wavelet analysis reconstruction coefficient
Online-Artifact-Removal-by-using-EEG-Signals
- This is project report submitted by Mumtaz Hussain at UTP, Malaysia.
EEG-based-identification-method
- ：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个 事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑 电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来 进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数 据长度、不同的波段对试验者进行识别率验证分析。
Eeg-signals
- 从脑电信号的分析出发,论述了频域分析、时域分析等脑电图分析中常用的信号分析方法和特点,特别介绍了Wigner分布、小波变换和匹配跟踪等时频分析方法、人工神经网络和非线性动力学方法在脑电信号分析和处理中的应用情况。 -From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal a
EEG-for-biometrics
- Biometric recognition is the science of establishing the identity of a person using his/her physical or biological characteristics. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG si
Classification-of-ictal-and-seizure-free-EEG-sign
- Classification of ictal and seizure-free EEG signals using fractionallinear prediction
eeg-ICA
- 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(Put forward a kind of using S function experimental results show that the ICA eeg signals can be included in the ecg)
EEGfenpin
- 对脑电信号进行波段分频，将脑电信号分为beta、Theta、Alpha、delta四个频段。(Frequency division of EEG signals.)
prhzotyping
- 近似熵MATLAB的计算程序2,可以通过此程序对脑电信号EEG进行分析(Approximate entropy of MATLAB to calculate the 2, EEG can through this program of EEG signals is analyzed)