基于Matlab的肌电图深度学习

文件列表：
├文件夹1：[Deep-Learning-for-EMG-In-matlab-master]
│  ├(1)2018_5_16experiment.mat
│  ├(2)ANNForEMG.m
│  ├文件夹1：[dataPreprocess]
│  │  ├(1)Load_muti_subject_data.m
│  │  ├(2)Load_muti_subject_data_CovSequence.m
│  │  ├(3)Load_muti_subject_data_CovSequenceSubstract.m
│  │  ├(4)Load_muti_subject_data_Sequence.m
│  │  ├(5)OriginalDataPlot.m
│  │  ├(6)OriginalDataPlotFun.m
│  │  ├(7)SequenceCovolutionFun.m
│  │  ├(8)SequenceCovolutionSubstractFun.m
│  │  ├(9)SequenceEMGSignalFun.m
│  │  └█
│  ├(3)experiment1.mat
│  ├(4)experiment1Input.mat
│  ├(5)experiment1Target.mat
│  ├(6)experiment_5_21.m
│  ├(7)FixArmRimNeuralNetworkFunction.m
│  ├(8)grasps_en.PNG
│  ├(9)imageTry.m
│  ├文件夹2：[LayerInstruction]
│  │  ├(1)LSTM.m
│  │  ├(2)One_demensionConvolutionAndPooling.m
│  │  ├(3)SimpleConvolutionLayer.m
│  │  └█
│  ├文件夹3：[LoadTransferNetworks]
│  │  ├(1)googleNet.m
│  │  └█
│  ├(10)MAVCalculation.m
│  ├(11)MAVFun.m
│  ├(12)meanCalculation.m
│  ├(13)model.m
│  ├(14)myNeuralNetworkFunction.m
│  ├(15)myNeuralNetworkFunction1.m
│  ├(16)myNeuralNetworkFunction3.m
│  ├(17)myNeuralNetworkFunction5_16.m
│  ├(18)Plan.m
│  ├(19)plot2line.m
│  ├(20)script_5_21.m
│  ├(21)simpleEMG.m
│  ├(22)simpleNet.m
│  ├(23)simpleNet2.m
│  ├(24)tableToSample.m
│  ├(25)Target_result1.m
│  └█
└█

运行例图：



基于Matlab的肌电图深度学习.zip (2.41 MB, 下载次数: 0, 售价: 30 积分)

2024-1-9 15:47 上传

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