Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(672 bytes)
A1505 12 500 5689
A1505.mat 16x1+24 1000.0(0)/mV 16 0 -9 14 0 I
A1505.mat 16x1+24 1000.0(0)/mV 16 0 6 -31 0 II
A1505.mat 16x1+24 1000.0(0)/mV 16 0 15 28 0 III
A1505.mat 16x1+24 1000.0(0)/mV 16 0 1 0 0 aVR
A1505.mat 16x1+24 1000.0(0)/mV 16 0 -12 -20 0 aVL
A1505.mat 16x1+24 1000.0(0)/mV 16 0 10 16 0 aVF
A1505.mat 16x1+24 1000.0(0)/mV 16 0 1 0 0 V1
A1505.mat 16x1+24 1000.0(0)/mV 16 0 1 15 0 V2
A1505.mat 16x1+24 1000.0(0)/mV 16 0 38 99 0 V3
A1505.mat 16x1+24 1000.0(0)/mV 16 0 19 -24 0 V4
A1505.mat 16x1+24 1000.0(0)/mV 16 0 -24 27 0 V5
A1505.mat 16x1+24 1000.0(0)/mV 16 0 -1 8 0 V6
# Age: 72
# Sex: Male
# Dx: 59118001,429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown