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

File: <base>/training/georgia/g6/E05856.hea (747 bytes) 
E05856 12 500 5000
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -302 -1502 0 I
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -263 -9342 0 II
E05856.mat 16x1+24 1000.0(0)/mV 16 0 39 -7790 0 III
E05856.mat 16x1+24 1000.0(0)/mV 16 0 283 5425 0 aVR
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -170 3197 0 aVL
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -112 -8621 0 aVF
E05856.mat 16x1+24 1000.0(0)/mV 16 0 136 -6921 0 V1
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12829 0 V2
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32 0 V3
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -292 -7359 0 V4
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -195 -7907 0 V5
E05856.mat 16x1+24 1000.0(0)/mV 16 0 -165 -6691 0 V6
# Age: 74
# Sex: Female
# Dx: 111975006,164930006,425419005,164934002
# Rx: Unknown
# Hx: Unknown