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fast_ApEn
- 近似熵,可用于生物电信号分析,包括脑电、心电、肌电等。-Approximate entropy, can be used for bio-electrical signal analysis, including EEG, ECG, EMG and so on.
mmm
- 关于脑电数据处理的matlab的一些算法,近似熵-On the EEG data processing matlab some of the algorithms, approximate entropy
CModEn
- 这是一个湖模式熵的程序,脑电信号分析的一个很好的算法,我在研究用的,很好用。-This is a lake pattern entropy procedures, EEG analysis of a good algorithm, I used in the study, very easy to use.
小波分解+MSE熵+特征提取
- 通过小波四层分解,获取脑电信号的四个波形,之后运用多变量多尺度熵计算综合MMSE,为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
程序
- 脑电信号特征提取 熵算法 信号处理 非线性分析方法 近似熵 样本熵 排列熵(Feature Extraction of EEG Signals Entropy algorithm signal processing Nonlinear Analysis Method Approximate Entropy Sample Entropy Arrangement Entropy)