Arrhythmia
Donated on 12/31/1997
Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Categorical, Integer, Real
# Instances
452
# Features
279
Dataset Information
Additional 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.
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Variable 1 | Feature | Integer | no | ||
| Variable 2 | Feature | Integer | no | ||
| Variable 3 | Feature | Integer | no | ||
| Variable 4 | Feature | Integer | no | ||
| Variable 5 | Feature | Integer | no | ||
| Variable 6 | Feature | Integer | no | ||
| Variable 7 | Feature | Integer | no | ||
| Variable 8 | Feature | Integer | no | ||
| Variable 9 | Feature | Integer | no | ||
| Variable 10 | Feature | Integer | no |
0 to 10 of 280
Additional Variable 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
Class Labels
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
Dataset Files
| File | Size |
|---|---|
| arrhythmia.data | 392.9 KB |
| arrhythmia.names | 6 KB |
Papers Citing this Dataset
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By Javad Anaraki, Saeed Samet, Mahdi Eftekhari, Chang Ahn. 2018
Published in ArXiv.
By Saeed Yazdi, Ahlame Chouakria, Patrick Gallinari, Manuel Moussallam. 2018
Published in ECML/PKDD.
By Francisco Pérez, José Berná-Martínez, Alberto Oliva, Miguel Ortega. 2018
Published in Complexity.
By Ke Ren, Haichuan Yang, Yu Zhao, Mingshan Xue, Hongyu Miao, Shuai Huang, Ji Liu. 2018
Published in ArXiv.
By Roman Feldbauer, Arthur Flexer. 2018
Published in Knowledge and Information Systems.
0 to 5 of 19
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset arrhythmia = fetch_ucirepo(id=5) # data (as pandas dataframes) X = arrhythmia.data.features y = arrhythmia.data.targets # metadata print(arrhythmia.metadata) # variable information print(arrhythmia.variables)
Guvenir, H., Acar, B., Muderrisoglu, H., & Quinlan, R. (1997). Arrhythmia [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5BS32.
Creators
H. Guvenir
Burak Acar
Haldun Muderrisoglu
R. Quinlan
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.