TDLDA

使用阈值法对脉搏信号的峰值进行提取，并且通过提取信号的峰值求脉搏信号的周期，并且简单判断脉搏信号的峰值是否可用。(Useing Threshold to extrack the peak of the pulse signal extraction, and determine the peak of the pulse signal whether is not available.)

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)

该工具箱主要功能：显示心电信号，分析心电信号中的outlier(ECG signal display，ECG signal analysis)

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)

检测心电信号QRS波, 检测准确率大于99%，数据库为MIT-BIH 心律失常数据库。(The algorithm can detect the qrs waves automaticlly.)

说明：  生成多焦点，各焦点间隔均匀且光强均匀，基于SLM(generate multifocal,The focal points are evenly spaced and the light intensity is uniform,based on SLM)

稀疏PCA的优化解算法，较新的pca算法，供大家学习交流！(Optimal Solutions for Sparse Principal Component Analysis)

通过核来泛化的判别分析（GDA）代码，MATLAB写的。(through nuclear generalization to the discriminant analysis (GDA) code, written in MATLAB.)

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.)

脉搏波的多处采集点的波形，可用来进行对比，或是进行血管建模，很适合初学者(The various collection points of pulse wave waveform, can be used to compare, or modeling of blood vessels, it is suitable for beginners)