Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(695 bytes)
A1629 12 500 5000
A1629.mat 16x1+24 1000.0(0)/mV 16 0 14 1141 0 I
A1629.mat 16x1+24 1000.0(0)/mV 16 0 114 1787 0 II
A1629.mat 16x1+24 1000.0(0)/mV 16 0 100 646 0 III
A1629.mat 16x1+24 1000.0(0)/mV 16 0 -64 -1788 0 aVR
A1629.mat 16x1+24 1000.0(0)/mV 16 0 -43 116 0 aVL
A1629.mat 16x1+24 1000.0(0)/mV 16 0 107 1323 0 aVF
A1629.mat 16x1+24 1000.0(0)/mV 16 0 38 -1340 0 V1
A1629.mat 16x1+24 1000.0(0)/mV 16 0 -17 659 0 V2
A1629.mat 16x1+24 1000.0(0)/mV 16 0 -15 1430 0 V3
A1629.mat 16x1+24 1000.0(0)/mV 16 0 -16 679 0 V4
A1629.mat 16x1+24 1000.0(0)/mV 16 0 23 -2159 0 V5
A1629.mat 16x1+24 1000.0(0)/mV 16 0 83 766 0 V6
# Age: 62
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown