TDPCA

卡布列克常数：题目中给出的处理过程很清楚,算法不需要特殊设计,(Cablek constant: the process given in the title is clear, the algorithm does not require a special design,)

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.)

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)

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.)

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：  eeg计算，用于EEG的demo计算，生物医学工程信号处理(EEG calculation, demo calculation of EEG, signal processing of Biomedical Engineering)

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)

验证了基因外显子的三周期特性，提出了一种优化确定阈值的方法，分别用固定窗口滑动，及滑动序列来对基因进行识别(Verified exon three-cycle characteristics, proposed an optimization to determine threshold and using fixed window sliding and sliding sequence to identify genes)

BP网络的MATLAB实现，用BP网络完成函数的逼近，具体见里面的README(BP Network MATLAB, BP network to be completed function approximation, the specific see inside the README)

筛选的几篇脑电节律提取的文章，可以用于其它信号处理~ 【基于改进小波变换的EEG分析】【基于小波变换的动态脑电节律提取】【脑电信号的特征节律信号提取】【a、β、δ、θ和40Hz波实时检测器】(Screening of several EEG extracted article, can be used for other signal processing ~ 【EEG based on improved wavelet analysis】 【based on wavelet transform extracts】 【dynamic EEG characteristics of EEG signal extraction】 【a rhythm , β, δ, θ, and real-time 40Hz wave detector】)