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
Past Usage:

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.

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.

Number of Instances: 452
Number of Attributes: 279
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