Foundations-of-Systems-Biology

电力黑启动综合程序,用于大面积断电以后,快速恢复电力,含多个子程序(Power black-start synthesis program, used for power recovery after a large area power failure, including a number of subroutines)

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)

在介绍非线性动力学现代理论中的混沌理论的基础上 综述了混沌理论及其方法在脑 电 心电及肌电等医学信号处理中的应用 并展望了它们的发展趋势 旨在推进非线性分析方法在生物医学中的研究和应用(In introducing the modern theory of nonlinear dynamics of chaos theory, based on an overview of chaos theory and its method in EEG and EMG and other ECG medical signal processing applications and prospects of their development trends aimed at promoting non-linear Analysis Method in Biology and Medicine Research and Application)

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

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)

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)

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.)

C.net开发计算器(C.net development Calculator)

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)

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.)