| [94] | 1 | %ARRHYTHMIA 420 objects with 279 features in 12 classes |
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| [80] | 2 | % |
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| 3 | % X = ARRHYTHMIA(CLASS,VAL) |
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| 4 | % |
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| 5 | % The aim is to distinguish between the presence and absence of cardiac |
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| 6 | % arrhythmia and to classify it in one of the 16 groups. Class 01 refers |
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| 7 | % to 'normal' ECG classes 02 to 15 refers to different classes of |
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| 8 | % arrhythmia and class 16 refers to the rest of unclassified ones. |
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| 9 | % |
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| 10 | % X = ARRHYTHMIA(VAL); |
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| 11 | % |
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| [96] | 12 | % By default features with missing values are removed. When something else |
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| [123] | 13 | % is desired, use one of the options in MISVAL for VAL. |
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| [94] | 14 | % |
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| 15 | % SEE ALSO <a href="http://37steps.com/prtools">PRTools Guide</a>, <a href="http://archive.ics.uci.edu/ml/">UCI Website</a> |
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| 16 | % PRTOOLS, DATASETS, MISVAL |
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| 17 | |
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| 18 | % Copyright: R.P.W. Duin, r.p.w.duin@prtools.org |
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| 19 | |
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| [123] | 20 | function x = arrhythmia(val) |
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| 21 | if nargin < 1, val = 'f-remove'; end |
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| 22 | a = pr_getdata('http://prtools.org/prdatasets/arrhythmia.dat',1); |
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| [80] | 23 | |
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| 24 | |
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| [123] | 25 | user.desc=['The Arrhymthmia database from UCI. The aim is to ' ... |
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| 26 | 'distinguish between the presence and absence of cardiac ' ... |
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| 27 | 'arrhythmia and to classify it in one of the 16 groups.']; |
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| [80] | 28 | user.link = 'ftp://ftp.ics.uci.edu/pub/machine-learning-databases/arrhythmia'; |
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| 29 | |
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| 30 | fl = {'age' 'sex' 'height' 'weight' 'QRS duration' 'P-R interval' ... |
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| 31 | 'Q-T interval' 'T interval' 'P interval' 'QRS' 'T' 'P' 'QRST' ... |
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| 32 | 'J' 'heartrate'}; |
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| 33 | fl1 = {'Q wave width' 'R wave width' 'S wave width' 'R'' wave width' ... |
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| 34 | 'S'' wave width' 'number of intrinsic deflections' ... |
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| 35 | 'ragged R wave' 'diphasic derivation of R wave' ... |
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| 36 | 'ragged P wave' 'diphasic derivation of P wave' ... |
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| 37 | 'ragged T wave' 'diphasic derivation of T wave'}; |
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| 38 | fl = [fl strcat('DI-',fl1) strcat('DII-',fl1) strcat('DIII-',fl1) ... |
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| 39 | strcat('AVR-',fl1) strcat('AVL-',fl1) strcat('AVF-',fl1) ... |
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| 40 | strcat('V1-',fl1) strcat('V2-',fl1) strcat('V3-',fl1) ... |
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| 41 | strcat('V4-',fl1) strcat('V5-',fl1) strcat('V6-',fl1)]; |
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| 42 | fl2 = {'JJ wave ampl' 'Q wave ampl' 'R wave ampl' ... |
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| 43 | 'S wave ampl' 'R'' wave ampl' 'S'' wave ampl' 'P wave ampl' ... |
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| 44 | 'T wave ampl' 'QRSA sum' 'QRSTA'}; |
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| 45 | fl = [fl strcat('DI-',fl2) strcat('DII-',fl2) strcat('DIII-',fl2) ... |
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| 46 | strcat('AVR-',fl2) strcat('AVL-',fl2) strcat('AVF-',fl2) ... |
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| 47 | strcat('V1-',fl2) strcat('V2-',fl2) strcat('V3-',fl2) ... |
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| 48 | strcat('V4-',fl2) strcat('V5-',fl2) strcat('V6-',fl2)]; |
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| 49 | |
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| [81] | 50 | x = pr_dataset(a(:,1:(end-1)),a(:,end)); |
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| [80] | 51 | x = setfeatlab(x,fl); |
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| 52 | x = setname(x,'Arrhythmia normal'); |
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| [96] | 53 | x = setuser(x,user); |
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| 54 | x = misval(x,val); |
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| [123] | 55 | |
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| [80] | 56 | return |
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