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offline-sEMG-recognition

于 2021-04-15 发布文件大小:229KB

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下载积分: 1 下载次数: 144

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代码说明：

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)

文件列表：

test
....\endpoint_detection.m,3027,2016-06-20
....\f.m,53,2016-06-20
....\feature_extraction.m,2560,2016-06-20
....\feature_reduction_PCA.m,837,2016-06-21
....\SVM_Train.m,507,2016-06-18
....\test.m,32059,2016-06-20
....\test_waveleft1.mat,264352,2016-06-13
....\test_waveleft2.mat,264352,2016-06-13
....\test_waveleft3.mat,264352,2016-06-13
....\test_waveleft4.mat,198816,2016-06-13
....\test_waveleft5.mat,264352,2016-06-13
....\test_waveright1.mat,264352,2016-06-13
....\test_waveright2.mat,264352,2016-06-13
....\test_waveright3.mat,264352,2016-06-13
....\test_waveright4.mat,264352,2016-06-13
....\test_waveright5.mat,264352,2016-06-13
....\waveleft10.mat,264352,2016-06-18
....\waveleft6.mat,264352,2016-06-18
....\waveleft7.mat,264352,2016-06-18
....\waveleft8.mat,198816,2016-06-18
....\waveleft9.mat,264352,2016-06-18
....\waveright10.mat,264352,2016-06-18
....\waveright6.mat,198816,2016-06-18
....\waveright7.mat,264352,2016-06-18
....\waveright8.mat,264352,2016-06-18
....\waveright9.mat,264352,2016-06-18

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2020-12-01 15:56:42下载

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2018-11-09 10:59:06下载

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2020-12-09 06:59:20下载

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2013-03-28 21:22:54下载

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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)

2020-12-30 10:19:00下载

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2012-04-16 15:57:17下载

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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

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