|
a |
|
b/README.md |
|
|
1 |
## About Dataset |
|
|
2 |
### Title: Cardiac Arrhythmia Database |
|
|
3 |
|
|
|
4 |
### Sources: |
|
|
5 |
(a) Original owners od Database: |
|
|
6 |
-- 1. H. Altay Guvenir, PhD., |
|
|
7 |
Bilkent University, |
|
|
8 |
Department of Computer Engineering and Information Science, |
|
|
9 |
06533 Ankara, Turkey |
|
|
10 |
Phone: +90 (312) 266 4133 |
|
|
11 |
Email: guvenir@cs.bilkent.edu.tr |
|
|
12 |
|
|
|
13 |
-- 2. Burak Acar, M.S., |
|
|
14 |
Bilkent University, |
|
|
15 |
EE Eng. Dept. |
|
|
16 |
06533 Ankara, Turkey |
|
|
17 |
Email: buraka@ee.bilkent.edu.tr |
|
|
18 |
|
|
|
19 |
-- 2. Haldun Muderrisoglu, M.D., Ph.D., |
|
|
20 |
Baskent University, |
|
|
21 |
School of Medicine |
|
|
22 |
Ankara, Turkey |
|
|
23 |
|
|
|
24 |
(b) Donor: H. Altay Guvenir |
|
|
25 |
Bilkent University, |
|
|
26 |
Department of Computer Engineering and Information Science, |
|
|
27 |
06533 Ankara, Turkey |
|
|
28 |
Phone: +90 (312) 266 4133 |
|
|
29 |
Email: guvenir@cs.bilkent.edu.tr |
|
|
30 |
|
|
|
31 |
(c) Date: January, 1998 |
|
|
32 |
|
|
|
33 |
### Past Usage: |
|
|
34 |
|
|
|
35 |
H. Altay Guvenir, Burak Acar, Gulsen Demiroz, Ayhan Cekin |
|
|
36 |
"A Supervised Machine Learning Algorithm for Arrhythmia Analysis" |
|
|
37 |
Proceedings of the Computers in Cardiology Conference, |
|
|
38 |
Lund, Sweden, 1997. |
|
|
39 |
|
|
|
40 |
The aim is to determine the type of arrhythmia from |
|
|
41 |
the ECG recordings. |
|
|
42 |
|
|
|
43 |
Relevant Information: |
|
|
44 |
This database contains 279 attributes, 206 of which are linear |
|
|
45 |
valued and the rest are nominal. |
|
|
46 |
|
|
|
47 |
Concerning the study of H. Altay Guvenir: "The aim is to distinguish |
|
|
48 |
between the presence and absence of cardiac arrhythmia and to |
|
|
49 |
classify it in one of the 16 groups. Class 01 refers to 'normal' |
|
|
50 |
ECG classes 02 to 15 refers to different classes of arrhythmia |
|
|
51 |
and class 16 refers to the rest of unclassified ones. For the |
|
|
52 |
time being, there exists a computer program that makes such a |
|
|
53 |
classification. However there are differences between the |
|
|
54 |
cardiolog's and the programs classification. Taking the |
|
|
55 |
cardiolog's as a gold standard we aim to minimise this difference |
|
|
56 |
by means of machine learning tools." |
|
|
57 |
|
|
|
58 |
The names and id numbers of the patients were recently |
|
|
59 |
removed from the database. |
|
|
60 |
|
|
|
61 |
Number of Instances: 452 |
|
|
62 |
|
|
|
63 |
Number of Attributes: 279 |
|
|
64 |
|
|
|
65 |
Attribute Information: |
|
|
66 |
-- Complete attribute documentation: |
|
|
67 |
1 Age: Age in years , linear |
|
|
68 |
2 Sex: Sex (0 = male; 1 = female) , nominal |
|
|
69 |
3 Height: Height in centimeters , linear |
|
|
70 |
4 Weight: Weight in kilograms , linear |
|
|
71 |
5 QRS duration: Average of QRS duration in msec., linear |
|
|
72 |
6 P-R interval: Average duration between onset of P and Q waves |
|
|
73 |
in msec., linear |
|
|
74 |
7 Q-T interval: Average duration between onset of Q and offset |
|
|
75 |
of T waves in msec., linear |
|
|
76 |
8 T interval: Average duration of T wave in msec., linear |
|
|
77 |
9 P interval: Average duration of P wave in msec., linear |
|
|
78 |
Vector angles in degrees on front plane of:, linear |
|
|
79 |
10 QRS |
|
|
80 |
11 T |
|
|
81 |
12 P |
|
|
82 |
13 QRST |
|
|
83 |
14 J |
|
|
84 |
|
|
|
85 |
15 Heart rate: Number of heart beats per minute ,linear |
|
|
86 |
|
|
|
87 |
Of channel DI: |
|
|
88 |
Average width, in msec., of: linear |
|
|
89 |
16 Q wave |
|
|
90 |
17 R wave |
|
|
91 |
18 S wave |
|
|
92 |
19 R' wave, small peak just after R |
|
|
93 |
20 S' wave |
|
|
94 |
|
|
|
95 |
21 Number of intrinsic deflections, linear |
|
|
96 |
|
|
|
97 |
22 Existence of ragged R wave, nominal |
|
|
98 |
23 Existence of diphasic derivation of R wave, nominal |
|
|
99 |
24 Existence of ragged P wave, nominal |
|
|
100 |
25 Existence of diphasic derivation of P wave, nominal |
|
|
101 |
26 Existence of ragged T wave, nominal |
|
|
102 |
27 Existence of diphasic derivation of T wave, nominal |
|
|
103 |
|
|
|
104 |
Of channel DII: |
|
|
105 |
28 .. 39 (similar to 16 .. 27 of channel DI) |
|
|
106 |
Of channels DIII: |
|
|
107 |
40 .. 51 |
|
|
108 |
Of channel AVR: |
|
|
109 |
52 .. 63 |
|
|
110 |
Of channel AVL: |
|
|
111 |
64 .. 75 |
|
|
112 |
Of channel AVF: |
|
|
113 |
76 .. 87 |
|
|
114 |
Of channel V1: |
|
|
115 |
88 .. 99 |
|
|
116 |
Of channel V2: |
|
|
117 |
100 .. 111 |
|
|
118 |
Of channel V3: |
|
|
119 |
112 .. 123 |
|
|
120 |
Of channel V4: |
|
|
121 |
124 .. 135 |
|
|
122 |
Of channel V5: |
|
|
123 |
136 .. 147 |
|
|
124 |
Of channel V6: |
|
|
125 |
148 .. 159 |
|
|
126 |
|
|
|
127 |
Of channel DI: |
|
|
128 |
Amplitude , * 0.1 milivolt, of |
|
|
129 |
160 JJ wave, linear |
|
|
130 |
161 Q wave, linear |
|
|
131 |
162 R wave, linear |
|
|
132 |
163 S wave, linear |
|
|
133 |
164 R' wave, linear |
|
|
134 |
165 S' wave, linear |
|
|
135 |
166 P wave, linear |
|
|
136 |
167 T wave, linear |
|
|
137 |
|
|
|
138 |
168 QRSA , Sum of areas of all segments divided by 10, |
|
|
139 |
( Area= width * height / 2 ), linear |
|
|
140 |
169 QRSTA = QRSA + 0.5 * width of T wave * 0.1 * height of T |
|
|
141 |
wave. (If T is diphasic then the bigger segment is |
|
|
142 |
considered), linear |
|
|
143 |
|
|
|
144 |
Of channel DII: |
|
|
145 |
170 .. 179 |
|
|
146 |
Of channel DIII: |
|
|
147 |
180 .. 189 |
|
|
148 |
Of channel AVR: |
|
|
149 |
190 .. 199 |
|
|
150 |
Of channel AVL: |
|
|
151 |
200 .. 209 |
|
|
152 |
Of channel AVF: |
|
|
153 |
210 .. 219 |
|
|
154 |
Of channel V1: |
|
|
155 |
220 .. 229 |
|
|
156 |
Of channel V2: |
|
|
157 |
230 .. 239 |
|
|
158 |
Of channel V3: |
|
|
159 |
240 .. 249 |
|
|
160 |
Of channel V4: |
|
|
161 |
250 .. 259 |
|
|
162 |
Of channel V5: |
|
|
163 |
260 .. 269 |
|
|
164 |
Of channel V6: |
|
|
165 |
270 .. 279 |
|
|
166 |
|
|
|
167 |
Missing Attribute Values: Several. Distinguished with '?'. |
|
|
168 |
|
|
|
169 |
Class Distribution: |
|
|
170 |
Database: Arrhythmia |
|
|
171 |
|
|
|
172 |
Class code : Class : Number of instances: |
|
|
173 |
01 Normal 245 |
|
|
174 |
02 Ischemic changes (Coronary Artery Disease) 44 |
|
|
175 |
03 Old Anterior Myocardial Infarction 15 |
|
|
176 |
04 Old Inferior Myocardial Infarction 15 |
|
|
177 |
05 Sinus tachycardy 13 |
|
|
178 |
06 Sinus bradycardy 25 |
|
|
179 |
07 Ventricular Premature Contraction (PVC) 3 |
|
|
180 |
08 Supraventricular Premature Contraction 2 |
|
|
181 |
09 Left bundle branch block 9 |
|
|
182 |
10 Right bundle branch block 50 |
|
|
183 |
11 1. degree AtrioVentricular block 0 |
|
|
184 |
12 2. degree AV block 0 |
|
|
185 |
13 3. degree AV block 0 |
|
|
186 |
14 Left ventricule hypertrophy 4 |
|
|
187 |
15 Atrial Fibrillation or Flutter 5 |
|
|
188 |
16 Others 22 |