Table 7.
Ref | Datasets |
---|---|
[64] | MIT-BIH Creighton University database. Reducing false alarms in ICU-PhysioNet/Computing in Cardiology Challenge 2015 dataset-G. Clifford et al. |
[2] | MIT -BIH Atrial fibrillation database + Machine Learning Repository at University of California |
[5] | MIT-BIH |
[6] | MIT-BIH |
[3] | MIT-BIH Arrhythmia dataset |
[51] | MIT-BIH |
[57] | MIT-BIH Arrhythmia database |
[65] | MIT-BIH |
[30] | PPG type 4 |
[49] | CinC2017–2017 Computation in Cardiology Challenge |
[82] | MIT-BIH ECG dataset CU ventricular arrhythmia data set |
[53] | Korea University Anam Hospital in Seoul, Korea, |
[68] | Creighton University ventricular tachycardia database (CUDB) MIT-BIH Malignant ventricular arrhythmia database (VFDB) |
[66] | 2017 Computation in Cardiology Challenge |
[55] | MIT-BIH ECG arrhythmia database |
[61] | ECG5000 |
[47] | MIT-BIH Atrial Fibrillation DataBase Computing in Cardiology Challenge 2017 Database Ventricular fibrillation database |
[70] | MIMIC-III Waveform Database from PhysioNet |
[63] | Personalized database, CPSC2020, and MIT-BIH |
[60] | MIT-BIH dataset |
[52] | ECG5000 |
[62] | “BIDMC Congestive Heart Failure Database” |
[85] | Unspecified ppg database |
[80] | MIT-BIH |
[67] | Privately collected dataset (training) Public China Physiological Signal Challenge (CPSC 2018) dataset (verification) |
[59] | MIT-BIH arrhythmia (MITD-AR) QT database (QTDB) |
[48] | MIT-BIH |
[58] | MIT-BIH arrhythmia |
[50] | Physiobank-PTB diagnostic ECG database |
[56] | MIT-BIH arrhythmia (MITD-AR) QT database (QTDB) |