Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(678 bytes)
A6493 12 500 7025
A6493.mat 16x1+24 1000.0(0)/mV 16 0 79 14 0 I
A6493.mat 16x1+24 1000.0(0)/mV 16 0 11 32 0 II
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -69 -9 0 III
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -45 -26 0 aVR
A6493.mat 16x1+24 1000.0(0)/mV 16 0 74 -11 0 aVL
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -30 10 0 aVF
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -182 -135 0 V1
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -32 -117 0 V2
A6493.mat 16x1+24 1000.0(0)/mV 16 0 45 -100 0 V3
A6493.mat 16x1+24 1000.0(0)/mV 16 0 -4 -19 0 V4
A6493.mat 16x1+24 1000.0(0)/mV 16 0 36 24 0 V5
A6493.mat 16x1+24 1000.0(0)/mV 16 0 34 1 0 V6
# Age: 53
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown