| 1 | %ARRHYTHMIA 452 objects with 279 features in 13 classes |
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| 2 | % |
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| 3 | % X = ARRHYTHMIA(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 13 groups. Class 1 refers |
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| 7 | % to 'normal' ECG classes 2 to 13 refer to different classes of |
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| 8 | % arrhythmia. |
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| 9 | % |
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| 10 | % By default features with missing values are removed. When something else |
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| 11 | % is desired, use one of the options in MISVAL for VAL. |
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| 12 | % |
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| 13 | % 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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| 14 | % PRTOOLS, DATASETS, MISVAL |
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| 15 | |
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| 16 | % Copyright: R.P.W. Duin, r.p.w.duin@37steps.com |
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| 17 | |
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| 18 | function a = arrhythmia(val) |
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| 19 | |
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| 20 | if nargin < 1, val = 'f-remove'; end |
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| 21 | a = pr_loadmatfile; |
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| 22 | if isempty(a) |
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| 23 | opt.delimeter = ' '; |
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| 24 | opt.labfeat = 280; |
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| 25 | fl = {'age' 'sex' 'height' 'weight' 'QRS duration' 'P-R interval' ... |
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| 26 | 'Q-T interval' 'T interval' 'P interval' 'QRS' 'T' 'P' 'QRST' ... |
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| 27 | 'J' 'heartrate'}; |
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| 28 | fl1 = {'Q wave width' 'R wave width' 'S wave width' 'R'' wave width' ... |
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| 29 | 'S'' wave width' 'number of intrinsic deflections' ... |
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| 30 | 'ragged R wave' 'diphasic derivation of R wave' ... |
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| 31 | 'ragged P wave' 'diphasic derivation of P wave' ... |
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| 32 | 'ragged T wave' 'diphasic derivation of T wave'}; |
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| 33 | fl = [fl strcat('DI-',fl1) strcat('DII-',fl1) strcat('DIII-',fl1) ... |
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| 34 | strcat('AVR-',fl1) strcat('AVL-',fl1) strcat('AVF-',fl1) ... |
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| 35 | strcat('V1-',fl1) strcat('V2-',fl1) strcat('V3-',fl1) ... |
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| 36 | strcat('V4-',fl1) strcat('V5-',fl1) strcat('V6-',fl1)]; |
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| 37 | fl2 = {'JJ wave ampl' 'Q wave ampl' 'R wave ampl' ... |
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| 38 | 'S wave ampl' 'R'' wave ampl' 'S'' wave ampl' 'P wave ampl' ... |
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| 39 | 'T wave ampl' 'QRSA sum' 'QRSTA'}; |
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| 40 | fl = [fl strcat('DI-',fl2) strcat('DII-',fl2) strcat('DIII-',fl2) ... |
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| 41 | strcat('AVR-',fl2) strcat('AVL-',fl2) strcat('AVF-',fl2) ... |
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| 42 | strcat('V1-',fl2) strcat('V2-',fl2) strcat('V3-',fl2) ... |
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| 43 | strcat('V4-',fl2) strcat('V5-',fl2) strcat('V6-',fl2)]; |
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| 44 | opt.featnames = fl; |
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| 45 | opt.dsetname = 'Arrhythmia normal'; |
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| 46 | % opt.classnames = {'benign' 'malignant'}; |
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| 47 | opt.desc=['The Arrhymthmia database from UCI. The aim is to ' ... |
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| 48 | 'distinguish between the presence and absence of cardiac ' ... |
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| 49 | 'arrhythmia and to classify it in one of the 16 groups.']; |
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| 50 | opt.link = 'ftp://ftp.ics.uci.edu/pub/machine-learning-databases/arrhythmia'; |
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| 51 | a = pr_download('http://prtools.tudelft.nl/prdatasets/arrhythmia.dat',[],opt); |
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| 52 | end |
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| 53 | a = misval(a,val); |
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| 54 | |
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| 55 | return |
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