poes_design

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)

this th code of improved harmony search algorithm in matlab

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)

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.)

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)

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)

匹配追踪分解为联合压缩和心电图QRS检测(Matching pursuit decomposition on electrocardiograms for joint compression and QRS detection)

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：  表面肌电信号数字传感器的设计。表面肌电（suRFace electromyography, sEMG）信号是神经肌肉系统在进行随意性和非随意性活动时的生物电变化经表面电极引导、放大、显示和记录所获得的一维电压时间序列信号，其振幅约为0-5000μV，频率0-1000Hz，信号形态具有较强的随机性和不稳定性。与传统的针式肌电图相比，sEMG的空间分辨率相对较低，但是探测空间较大，重复性较好，对于体育科学研究、康复医学临床和基础研究等具有重要的学术价值和应用意义[1]。(Surface EMG digital sensor design)

人脸识别2DLDA代码，MATLAB写的。(code written in MATLAB.)