Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g5/E04152.hea (714 bytes) 
E04152 12 500 5000
E04152.mat 16x1+24 1000.0(0)/mV 16 0 78 29811 0 I
E04152.mat 16x1+24 1000.0(0)/mV 16 0 87 4264 0 II
E04152.mat 16x1+24 1000.0(0)/mV 16 0 9 -25326 0 III
E04152.mat 16x1+24 1000.0(0)/mV 16 0 -82 -16866 0 aVR
E04152.mat 16x1+24 1000.0(0)/mV 16 0 34 -5143 0 aVL
E04152.mat 16x1+24 1000.0(0)/mV 16 0 48 22042 0 aVF
E04152.mat 16x1+24 1000.0(0)/mV 16 0 0 12088 0 V1
E04152.mat 16x1+24 1000.0(0)/mV 16 0 234 -31803 0 V2
E04152.mat 16x1+24 1000.0(0)/mV 16 0 58 28870 0 V3
E04152.mat 16x1+24 1000.0(0)/mV 16 0 107 8050 0 V4
E04152.mat 16x1+24 1000.0(0)/mV 16 0 39 9195 0 V5
E04152.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29785 0 V6
# Age: 66
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown