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迈瑞杯医疗仪器设计大赛ECG心电特征检测，各种滤波器设计代码及文献，希望对大家有用(Mindray Medical Instrument Design Contest Cup ECG ECG feature detection, various filter design code and documentation, we hope to be useful)

说明：  包含运动想象数据，以及相关程序，以及特征提取法，非常全面(Contains motion imaginary data, as well as related programs, as well as feature extraction methods, very comprehensive)

tsp问题，该算法采用matlab算出了30个坐标的最优化路径，并给出迭代的时间，绘出路径。(tsp problem, the algorithm uses matlab to calculate the coordinates of 30 optimal path, and give Iterative time, mapped the path.)

说明：  通过python利用生成对抗网络对癫痫发作进行预测(Using Generative Adversarial Networks to Predict Seizures)

说明：  基于几何统计特征的印鉴自动识别算法 －－－文章(Based on the geometric characteristics of each automatic identification algorithm is based on the geometric characteristics of each algorithm for automatic identification article )

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.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

This is my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).

本MATLAB代码主要用于EEG脑电信号预处理和单次提取(Single extraction of EEG EEG signal)

人脸识别2DPCA代码，MATLAB写的。(code written in MATLAB.)

说明：  作者使用matlab程序开发了脑电图信号接口程序，并利用小波分解对脑电信号节律提取。(By using the matlab program development of EEG signal interface program, and the use of wavelet decomposition of the EEG rhythm extraction.)