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

File: <base>/training/georgia/g5/E04918.hea (747 bytes) 
E04918 12 500 5000
E04918.mat 16x1+24 1000.0(0)/mV 16 0 0 -11313 0 I
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -19 14762 0 II
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -19 26508 0 III
E04918.mat 16x1+24 1000.0(0)/mV 16 0 9 -1691 0 aVR
E04918.mat 16x1+24 1000.0(0)/mV 16 0 9 -18911 0 aVL
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -19 20669 0 aVF
E04918.mat 16x1+24 1000.0(0)/mV 16 0 48 -13175 0 V1
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15865 0 V2
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -204 -15150 0 V3
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -185 -19775 0 V4
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -156 -12250 0 V5
E04918.mat 16x1+24 1000.0(0)/mV 16 0 -87 -18034 0 V6
# Age: 60
# Sex: Female
# Dx: 426434006,59931005,164934002,164917005
# Rx: Unknown
# Hx: Unknown