Chinese Medical Sciences Journal ›› 2023, Vol. 38 ›› Issue (1): 38-48.doi: 10.24920/004160
Special Issue: 心脏疾病与健康
• Review • Previous Articles Next Articles
Yu-Xia Guan1, Ying An2, Feng-Yi Guo1, Wei-Bai Pan1, Jian-Xin Wang1, *()
Received:
2022-08-26
Accepted:
2022-12-22
Published:
2023-03-31
Online:
2023-02-28
Contact:
Jian-Xin Wang
E-mail:jxwang@mail.csu.edu.cn
Yu-Xia Guan, Ying An, Feng-Yi Guo, Wei-Bai Pan, Jian-Xin Wang. Intelligent Electrocardiogram Analysis in Medicine: Data, Methods, and Applications[J].Chinese Medical Sciences Journal, 2023, 38(1): 38-48.
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Table 1.
ECG databases for different applications"
Datasets | Records | Length | Frequency (Hz) | Leads | Labeling method | Applications |
---|---|---|---|---|---|---|
CU Ventricular Tachyarrhythmia[ | 35 | 8 min | 250 | 1 | BBL; ML | Arrhythmia detection |
MIT-BIH Arrhythmia[ | 48 | 30 min | 360 | 2 | BBL; ML | Arrhythmia detection |
MIT-BIH Long Term[ | 7 | 14-22 h | 128 | 2 | BBL; ML | Arrhythmia detection |
MIT-BIH Supraventricular Arrhythmia[ | 78 | 30 min | 128 | 2 | BBL; ML | Arrhythmia detection |
Sudden Cardiac Death Holter[ | 23 | Up to 24 h | 250 | 2 | BBL; ML | Arrhythmia detection |
BIDMC Congestive Heart Failure[ | 15 | 20 h | 250 | 2 | BBL; ML | Arrhythmia detection |
American Heart Association (AHA)[ | 155 | 3 h | 250 | 2 | BBL; ML | Arrhythmia detection |
St. Petersburg Institute of Cardiological Technics 12-lead Arrhythmia (INCART)[ | 75 | 30 min | 257 | 12 | BBL; ML | Arrhythmia detection |
The China Physiological Signal Challenge 2018[ | 6877 | 6-60 s | 500 | 12 | RRL; ML | Arrhythmia detection |
Shaoxing People's Hospital's 10,000 patients arrhythmia database[ | 10,646 | 10 s | 500 | 12 | RRL; SL | Arrhythmia detection |
Ningbo First Hospital (Ningbo)[ | 34,905 | 10 s | 500 | 12 | RRL; ML | Arrhythmia detection |
MIT-BIH Atrial Fibrillation (AF)[ | 25 | 10 h | 250 | 2 | BBL; ML | AF detection |
Intracardiac Atrial Fibrillation[ | 8 | 1 min | 128 | 2 | RRL; ML | AF detection |
Long Term Atrial Fibrillation (AF)[ | 84 | 24 h | 128 | 2 | BBL; ML | AF detection |
PTB-XL[ | 21,837 | 10 s | 1000 | 12 | RRL; ML | MI detection |
PhysioNet Apnea-ECG[ | 70 | 401-587 min | 100 | N/A | ML | Apnea detection |
MIT-BIH Noise Stress Test (NST)[ | 15 | 30 min | 360 | 2 | - | Signal denoising |
QT[ | 100 | 15 min | 250 | 2 | - | Signal denoising |
Abdominal and Direct Fetal ECG (ADFE)[ | 5 | 10 min | 1000 | 5 | - | Fetal ECG extraction |
Fetal electrocardiograms - B2_Labour_dataset[ | 12 | 5min | 500-1000 | 5 | - | Fetal ECG extraction |
CinC Challenge 2013[ | 175 | 1min | 1000 | 1 | - | Fetal ECG extraction |
MIMIC[ | 67830 | / | 1000 | 12 | - | Respiration extraction |
Figure 1.
Sample distribution of the three commonly used ECG databases. (A) MIT-BIH arrhythmia database. N: non-ectopic beats; S: supraventricular ectopic beats; V: ventricular ectopic beats; F: fusion beats. (B) MIF-BIH atomic fiber database. N: normal beat; A: atrial premature beat; F: fusion of ventricular and normal beat; L: left bundle branch block beat; R: right bundle branch block beat; V: premature ventricular contraction. (C) PTB-XL. AMI: anterior myocardial infarction; IMI: inferior myocardial infarction; LMI: lateral myocardial infarction; NORM: normal ECG."
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