搜索资源列表
MUtual-Information-analysis-of-the-EEG--in-patien
- Mutual information analysis of the EEG in patients with AD
EEG-analysis_pdf
- 关于脑电信号分析的几篇pdf资料，感兴趣的朋友可以看下！-EEG analysis on several pdf information, interested friends can look!
EEG-analysis-and-application
- 《脑电信号分析方法及其应用》书中示例程序，书的附录中有该程序列表-EEG analysis method and its application（the book program）
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
EEG-power-spectrum-estimation-
- 本科毕业时做的男女左右运动时提取脑电信号的功率谱，是分频提取的，也就是左、右手运动是的不同特征，程序简单易懂，还附有脑电信号、程序说明-Graduate men and women to do about movement of EEG power spectrum is divided extraction, that is, the left and right movement is different features, the
EEG-feature-extraction
- 脑电特征提取的的matlab算法EEG feature extraction-EEG feature extraction algorithm matlab EEG feature extraction
data-for-EEG-Epileptic
- data for EEG Epileptic
EEG-authentication
- EEG pattern matching for controlling object -EEG pattern matching for controlling object .....................................................................................
EEG-hard-threshold--soft-threshold
- 脑电信号的硬阈值和软阈值去噪算法，是对脑电信号消噪的基本消噪能够成功取得脑电消噪的目的，为脑电信号的特征提取做好充分准备-EEG hard threshold and soft thresholding algorithm is the basic noise cancellation EEG de-noising can successfully achieve the purpose of de-noising EEG, EEG f
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improv
EEG
- 脑电信号提取及特征分析 生物医学工程及信号处理专业可以-EEG feature extraction and analysis
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,
Active-Segment-Selection-Method-in-EEG-Classifica
- Active Segment Selection Method in EEG Classification Using Fractal Features
Classification-of-ictal-and-seizure-free-EEG-sign
- Classification of ictal and seizure-free EEG signals using fractionallinear prediction
EEG-Seizure-Analysis-Using-Fractal
- EEG Seizure Analysis Using Fractal
EEG
- 用于观察脑电信号全通道数据和多个单通道数据，并且输出相对颅内压参数。函数通过读取nt后缀脑电图文件，并生成GUI界面，可选择全通道观察所选文件脑电信号，也可以选择包含原始EEG脑电信号，40hzEEG，80hz肌电干扰和提取出的40hzEEG信号的多个单通道观察，并且生成颅内压参数。-Used to observe all channels of EEG data and multiple-channel data, and outpu
Wavelet-Based-Analysis-of-EEG-Signal-for-Evaluati
- Matlab related EEG analysis based on : Wavelet Based Analysis of EEG Signal for Evaluating Mental Behavior
eeg
- 可以对脑电信号进行预处理，并且可以建立脑网络-EEG signal processing
matlab-EEG-singal--progress
- 脑电信号处理程序，简单可执行，注意输入格式就行了-EEG handler, simple executable for the input format on the line
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.