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PPG_features-master

于 2021-03-20 发布

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下载积分: 1 下载次数: 12

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代码说明：

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)

文件列表：

PPG_features-master, 0 , 2017-04-06
PPG_features-master\055_1m.mat, 396606 , 2017-04-06
PPG_features-master\AI.m, 1252 , 2017-04-06
PPG_features-master\DAP.m, 3142 , 2017-04-06
PPG_features-master\HRDN.m, 1207 , 2017-04-06
PPG_features-master\IHAR.m, 1290 , 2017-04-06
PPG_features-master\IPA.m, 1167 , 2017-04-06
PPG_features-master\PAT.m, 1031 , 2017-04-06
PPG_features-master\PPI.m, 1089 , 2017-04-06
PPG_features-master\PW.m, 1003 , 2017-04-06
PPG_features-master\README.md, 48 , 2017-04-06
PPG_features-master\SA.m, 845 , 2017-04-06
PPG_features-master\Segmentation.m, 3514 , 2017-04-06
PPG_features-master\TD.m, 1116 , 2017-04-06
PPG_features-master\bessel_filter.m, 675 , 2017-04-06
PPG_features-master\image_intergral.m, 824 , 2017-04-06
PPG_features-master\integral_to_average.m, 894 , 2017-04-06
PPG_features-master\interpolation.m, 468 , 2017-04-06
PPG_features-master\ma_filter.m, 634 , 2017-04-06
PPG_features-master\main.m, 1218 , 2017-04-06
PPG_features-master\point_in_roi.m, 1489 , 2017-04-06
PPG_features-master\ppg_period_estimate.m, 664 , 2017-04-06
PPG_features-master\preprocess.m, 1808 , 2017-04-06
PPG_features-master\show_GUI.fig, 85684 , 2017-04-06
PPG_features-master\show_GUI.m, 43720 , 2017-04-06
PPG_features-master\signal_spec.m, 338 , 2017-04-06
PPG_features-master\time_point_gui.m, 9274 , 2017-04-06
PPG_features-master\value_lim.m, 1318 , 2017-04-06

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0 个回复

是wuli小薛啊普通会员
2022-04-18 10:40:12
回复是wuli小薛啊

不能直接用在PPG信号时，运行出错

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.)

2020-11-21 11:19:35下载

积分：1
aco_code_as2
蚁群算法解决TSP问题，C++编写，可以改进应用于其他方面。(It is very useful for student who study ant algoritym optimization.)

2010-01-07 17:15:03下载

积分：1
图像识别人脸识别和虹膜识别
提供了图像识别，包括人脸识别和虹膜识别，是不可多得的程序(for image recognition, face recognition and iris recognition, is a rare procedure)

2020-06-26 09:00:01下载

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PathSPCA
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)

2009-02-25 11:16:11下载

积分：1
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.)

2020-11-21 11:19:35下载

积分：1
ww234
说明：基于几何统计特征的印鉴自动识别算法－－－文章(Based on the geometric characteristics of each automatic identification algorithm is based on the geometric characteristics of each algorithm for automatic identification article )

2006-03-19 21:56:42下载

积分：1
an
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)

2010-02-01 15:30:23下载

积分：1
mendelHMM
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

2020-12-19 17:49:09下载

积分：1
TDLDA
人脸识别2DLDA代码，MATLAB写的。(code written in MATLAB.)

2006-09-07 14:33:37下载

积分：1
KFCM
经典KFCM算法在iris数据库上的使用！(The classic KFCM algorithm in the iris database!)

2012-06-11 20:17:46下载

积分：1

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