▍1. Rayleigh
瑞利散射的MATLAB仿真代码，来自汪利宏生物成像技术那本著作(Rayleigh scattering of the MATLAB simulation code, WANG Li-hong bio-imaging technology from that book)
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▍2. offline-sEMG-recognition
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)
▍3. FastaTool
Fasta序列处理工具：包含蛋白或者DNA序列的编辑，获取局部序列，CDS翻译成蛋白，序列格式化功能等(The Fasta sequence processing tools: contain protein or DNA sequence editor for local sequence, CDS translated into protein sequence formatting functions)
▍4. seizure-prediction-GAN
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)
▍5. PPG_features-master
说明： 关于ppg信号预处理和特征提取的代码仅供参考学习(The code of PPG signal preprocessing and feature extraction is for reference only)
▍6. EEG_ERD_Classification
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)
▍7. EEG_ERD_Classification
说明： 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)
▍8. 近端梯度算法
一种优化算法，用于解决线性反转问题，程序可以直接运行，算法比较精确(An optimization algorithm is used to solve the linear inversion problem. The program can run directly, and the algorithm is more precise.)
▍9. matlab-code-ch1
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.)
▍10. ECG_Viewer_v1.2.1
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)
▍11. ECG_Viewer_v1.2.1
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)
▍12. ecg_matching_pursuit-master
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)
▍13. ecg_matching_pursuit-master
说明： 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)
▍15. QRS-detection-and-ECG-classifier-master
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.)
▍16. QRS-detection-and-ECG-classifier-master
说明： 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.)
▍17. generateMultiFoci
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)
▍18. 本MATLAB代码主要用于EEG脑电信号预处理和单次提取 p300soft
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)
▍19. Fftfile-of-EEG
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.)
▍20. Fftfile-of-EEG
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.)
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