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Journal of Healthcare Engineering
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Journal of Healthcare Engineering
/
2018
/
Article
/
Tab 1
/
Research Article
Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases
Table 1
The list of six databases.
Database
Description
Number of beats
Number of records
Record length (min)
Total time (min)
Sample frequency (Hz)
Source
A
High-quality ECGs
72,415
100
10
1000
250
2014 PhysioNet/CinC challenge training set (
https://physionet.org/challenge/2014/
)
Low-quality ECGs
78,618
100
10
1000
360
2014 PhysioNet/CinC challenge augmented training set (
https://physionet.org/challenge/2014/
)
B
Normal subjects
1,806,792
18
120
2160
500
MIT-BIH NSR database (
https://physionet.org/physiobank/database/nsrdb/
)
Arrhythmia patients
103,724
44
30
1320
360
MIT-BIH arrhythmia database (
https://www.physionet.org/physiobank/database/mitdb/
)
C
Paced rhythm ECGs
8923
4
30
120
360
MIT-BIH arrhythmia database (
https://www.physionet.org/physiobank/database/mitdb/
)
D
Telehealth environment ECGs
6708
250
0.5
125
500
Harvard dataverse TELE database (
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/QTG0EP
)
Total
—
2,077,180
516
—
5725
—
—