Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(675 bytes)
A1529 12 500 9918
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -62 24 0 I
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -82 38 0 II
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -20 11 0 III
A1529.mat 16x1+24 1000.0(0)/mV 16 0 72 -5 0 aVR
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -21 -20 0 aVL
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -52 -65 0 aVF
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -46 2 0 V1
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3 0 V2
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -13 6 0 V3
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -26 22 0 V4
A1529.mat 16x1+24 1000.0(0)/mV 16 0 4 27 0 V5
A1529.mat 16x1+24 1000.0(0)/mV 16 0 -52 49 0 V6
# Age: 61
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown