IHS

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)

Sources for isolated speech recognition project. Compiled with Visual Studio 2008. Used Visual C++ for gui programming, the engine is written in pure C++ and can be used in many ways.

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.)

用matlab编写的，基于元胞自动机的交通流模型(Using matlab，Based on cellular automata traffic flow model)

说明：  神经元细胞HH 模型的仿真。可视化地模拟，结构清晰。(This is a simulation of Hodgkin-Huxley equations using simulink blocks)

这是一个基于weka数据挖掘的实验测试数据集,格式为 arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试(This is an experimental test data set based on weka data mining, in the format of arff, containing nominal and numerical data sets for weka mining testing)

生命系统建模——血液血环系统的建模，能够对多种心血管疾病情形进行模拟。(Life System Modeling- Modeling blood blood ring system, it is possible to simulate a variety of cardiovascular disease situations.)

对心音信号的50hz陷波器设计和MFCC计算，能量的提取(Heart sound signal 50hz notch filter design and MFCC calculation, energy extraction)

提取人体手臂肌电信号，手势识别，包括肌电信号的预处理，端点检测，特征提取，特征降维，SVM分类识别(sEMG based hand movements recognition using SVM)