資源簡介
本文檔實現了對ECG信號的處理,通過小波變去噪與檢測,以及特征提取,并進行神經網絡的訓練,對不同身份的人的ECG進行識別。代碼可以立即運行。注釋很詳細。希望能夠幫到大家。

代碼片段和文件信息
clear?all;
load?testsample101.mat;
test101=testECG;
load?testsample103.mat;
test103=testECG;
load?testsample105.mat;
test105=testECG;
load?testsample106.mat;
test106=testECG;
load?testsample111.mat;
test111=testECG;
load?trainsample101.mat;
train101=trainECG;
load?trainsample103.mat;
train103=trainECG;
load?trainsample105.mat;
train105=trainECG;
load?trainsample106.mat;
train106=trainECG;
load?trainsample111.mat;
train111=trainECG;
%訓練樣本
train_sample=[train101‘?train103‘?train105‘?train106‘?train111‘];?%21*25
%測試樣本
test_sample=[test101‘test103‘test105‘test106‘test111‘];
%輸出類別
t=[1?1?1?1?1?2?2?2?2?2?3?3?3?3?3?4?4?4?4?4?5?5?5?5?5];
train_result=ind2vec(t);
test_result=ind2vec(t);
pr(1:211)=-1;
pr(1:212)=1;
net?=?newff(pr[215]{‘tansig‘?‘purelin‘}‘traingdx‘‘learngdm‘);
net.trainParam.epochs=1000;
net.trainParam.goal=0.0002;
net.trainParam.lr=0.0003;
net?=?train(nettrain_sampletrain_result);
result_sim=sim(nettest_sample);
result_sim_ind=vec2ind(result_sim);
correct=0;
for?i=1:length(t)
????if?result_sim_ind(i)==t(i);
????????correct=correct+1;
????end
end
disp(‘正確率:‘);correct/length(t)
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件???????1184??2014-06-14?18:46??neural?network\ECGclassification.m
?????文件??????23206??2014-06-17?14:01??neural?network\ECGDetectFinish.m
?????文件????????832??2014-06-14?17:49??neural?network\testsample101.mat
?????文件????????802??2014-06-14?17:51??neural?network\testsample103.mat
?????文件????????845??2014-06-14?17:50??neural?network\testsample105.mat
?????文件????????770??2014-06-17?13:40??neural?network\testsample106.mat
?????文件????????803??2014-06-17?13:41??neural?network\testsample111.mat
?????文件????????770??2014-06-14?17:49??neural?network\trainsample101.mat
?????文件????????830??2014-06-14?17:51??neural?network\trainsample103.mat
?????文件????????775??2014-06-14?17:50??neural?network\trainsample105.mat
?????文件????????812??2014-06-17?13:40??neural?network\trainsample106.mat
?????文件????????797??2014-06-17?13:41??neural?network\trainsample111.mat
?????文件????????264??2014-06-17?14:02??neural?network\程序相關解釋.txt
?????目錄??????????0??2014-06-17?14:31??neural?network
-----------?---------??----------?-----??----
????????????????32690????????????????????14
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