View uci-20070111 arrhythmia (public)

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Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer,Floating Point
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# Instances: 452 / # Attributes: 280
HDF5 (749.5 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
arff
Name
arrhythmia
Version mldata
0
Comment

  1. Title: Cardiac Arrhythmia Database

  2. Sources: (a) Original owners od Database: -- 1. H. Altay Guvenir, PhD., Bilkent University, Department of Computer Engineering and Information Science, 06533 Ankara, Turkey Phone: +90 (312) 266 4133 Email: guvenir@cs.bilkent.edu.tr

    -- 2. Burak Acar, M.S., Bilkent University, EE Eng. Dept. 06533 Ankara, Turkey Email: buraka@ee.bilkent.edu.tr

    -- 2. Haldun Muderrisoglu, M.D., Ph.D., Baskent University, School of Medicine Ankara, Turkey

(b) Donor: H. Altay Guvenir Bilkent University, Department of Computer Engineering and Information Science, 06533 Ankara, Turkey Phone: +90 (312) 266 4133 Email: guvenir@cs.bilkent.edu.tr

(c) Date: January, 1998

  1. Past Usage:

  2. H. Altay Guvenir, Burak Acar, Gulsen Demiroz, Ayhan Cekin "A Supervised Machine Learning Algorithm for Arrhythmia Analysis" Proceedings of the Computers in Cardiology Conference, Lund, Sweden, 1997.

    The aim is to determine the type of arrhythmia from the ECG recordings.

  3. Relevant Information: This database contains 279 attributes, 206 of which are linear valued and the rest are nominal.

    Concerning the study of H. Altay Guvenir: "The aim is to distinguish between the presence and absence of cardiac arrhythmia and to classify it in one of the 16 groups. Class 01 refers to 'normal' ECG classes 02 to 15 refers to different classes of arrhythmia and class 16 refers to the rest of unclassified ones. For the time being, there exists a computer program that makes such a classification. However there are differences between the cardiolog's and the programs classification. Taking the cardiolog's as a gold standard we aim to minimise this difference by means of machine learning tools."

    The names and id numbers of the patients were recently removed from the database.

  4. Number of Instances: 452

  5. Number of Attributes: 279

  6. Attribute Information: -- Complete attribute documentation: 1 Age: Age in years , linear 2 Sex: Sex (0 = male; 1 = female) , nominal 3 Height: Height in centimeters , linear 4 Weight: Weight in kilograms , linear 5 QRS duration: Average of QRS duration in msec., linear 6 P-R interval: Average duration between onset of P and Q waves in msec., linear 7 Q-T interval: Average duration between onset of Q and offset of T waves in msec., linear 8 T interval: Average duration of T wave in msec., linear 9 P interval: Average duration of P wave in msec., linear Vector angles in degrees on front plane of:, linear 10 QRS 11 T 12 P 13 QRST 14 J

    15 Heart rate: Number of heart beats per minute ,linear

    Of channel DI: Average width, in msec., of: linear 16 Q wave 17 R wave 18 S wave 19 R' wave, small peak just after R 20 S' wave

    21 Number of intrinsic deflections, linear

    22 Existence of ragged R wave, nominal 23 Existence of diphasic derivation of R wave, nominal 24 Existence of ragged P wave, nominal 25 Existence of diphasic derivation of P wave, nominal 26 Existence of ragged T wave, nominal 27 Existence of diphasic derivation of T wave, nominal

    Of channel DII: 28 .. 39 (similar to 16 .. 27 of channel DI) Of channels DIII: 40 .. 51 Of channel AVR: 52 .. 63 Of channel AVL: 64 .. 75 Of channel AVF: 76 .. 87 Of channel V1: 88 .. 99 Of channel V2: 100 .. 111 Of channel V3: 112 .. 123 Of channel V4: 124 .. 135 Of channel V5: 136 .. 147 Of channel V6: 148 .. 159

    Of channel DI: Amplitude , * 0.1 milivolt, of 160 JJ wave, linear 161 Q wave, linear 162 R wave, linear 163 S wave, linear 164 R' wave, linear 165 S' wave, linear 166 P wave, linear 167 T wave, linear

    168 QRSA , Sum of areas of all segments divided by 10, ( Area= width * height / 2 ), linear 169 QRSTA = QRSA + 0.5 * width of T wave * 0.1 * height of T wave. (If T is diphasic then the bigger segment is considered), linear

    Of channel DII: 170 .. 179 Of channel DIII: 180 .. 189 Of channel AVR: 190 .. 199 Of channel AVL: 200 .. 209 Of channel AVF: 210 .. 219 Of channel V1: 220 .. 229 Of channel V2: 230 .. 239 Of channel V3: 240 .. 249 Of channel V4: 250 .. 259 Of channel V5: 260 .. 269 Of channel V6: 270 .. 279

  7. Missing Attribute Values: Several. Distinguished with '?'.

  8. Class Distribution: Database: Arrhythmia

    Class code : Class : Number of instances: 01 Normal 245 02 Ischemic changes (Coronary Artery Disease) 44 03 Old Anterior Myocardial Infarction 15 04 Old Inferior Myocardial Infarction 15 05 Sinus tachycardy 13 06 Sinus bradycardy 25 07 Ventricular Premature Contraction (PVC) 3 08 Supraventricular Premature Contraction 2 09 Left bundle branch block 9 10 Right bundle branch block 50 11 1. degree AtrioVentricular block 0 12 2. degree AV block 0 13 3. degree AV block 0 14 Left ventricule hypertrophy 4 15 Atrial Fibrillation or Flutter 5 16 Others 22

Names
age,sex,height,weight,QRSduration,PRinterval,Q-Tinterval,Tinterval,Pinterval,QRS,
Types
  1. numeric
  2. nominal:0,1
  3. numeric
  4. numeric
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
  10. numeric
Data (first 10 data points)
    age sex height weight QRSd... PRin... Q-Ti... Tint... Pint... QRS ...
    75 0 190 80 91 193 371 174 121 -16 ...
    56 1 165 64 81 174 401 149 39 25 ...
    54 0 172 95 138 163 386 185 102 96 ...
    55 0 175 94 100 202 380 179 143 28 ...
    75 0 190 80 88 181 360 177 103 -16 ...
    13 0 169 51 100 167 321 174 91 107 ...
    40 1 160 52 77 129 377 133 77 77 ...
    49 1 162 54 78 0 376 157 70 67 ...
    44 0 168 56 84 118 354 160 63 61 ...
    50 1 167 67 89 130 383 156 73 85 ...
    ... ... ... ... ... ... ... ... ... ... ...
Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs
(No information yet)
Publications
    Data Source
    http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 09:58

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