TDPCA

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)

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)

ct图像重建工具箱，有大量的实例可以学习(This directory contains various algorithms for image reconstruction and other inverse problems such as image restoration and image registration. It also contains code for related applications including MRI pulse design.)

ECG的应用，ECG在医疗检测方面发挥着中重要作用，所以，心电信号至关重要(With the application of ECG, ECG plays an important role in medical detection, so ECG signal is very important.)

简单的指纹识别算法代码,带测试图片.非商业代码.(simple fingerprint recognition algorithm code, with test images. Non-commercial code.)

这次上传的代码是关于K-means clusters的代码，希望能对大家有用。(The uploaded code is about K-means clusters.I hope it can be a help to everyone.)

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.)

这是个手指指纹识别的源代码 ,也是从网络上下载的(This is a fingerprints identification of source code, as well as downloaded from the Internet)

孟德尔隐马尔科夫的源程序，对于孟德尔隐马尔科夫的研究者有帮助

MATLAB心电图自动诊断程序。围绕心电信号预处理、心电波形检侧与定位、心电特征提取与分析三个方面。研究MIT数据库中的心电信号，针对心电信号中存在的工频干扰、基线漂移、肌电干扰等各种噪声,设计出了高通、低通、带阻、平滑效果滤波器来对心电信号进行预处理，对处理后的信号采用连续小波变化进行特征点的定位及瞬时心率的计算，最后通过分析给出诊断结果。(MATLAB ECG automatic diagnosis program. Around the ECG signal preprocessing, ECG waveform detection and location, ECG feature extraction and analysis of three aspects, the study of MIT in the ECG signal. According to the frequency interference, baseline drift in the presence of ECG, EMG interference and other noise, design a high pass, low pass, band stop filter, smoothing effect of pretreatment of the ECG signal, the calculation of the processed signal using continuous wavelet transform to locate feature points and instantaneous heart rate, finally the diagnosis results.)