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

File: <base>/training/georgia/g4/E03362.hea (747 bytes) 
E03362 12 500 5000
E03362.mat 16x1+24 1000.0(0)/mV 16 0 68 -8398 0 I
E03362.mat 16x1+24 1000.0(0)/mV 16 0 102 17604 0 II
E03362.mat 16x1+24 1000.0(0)/mV 16 0 34 25692 0 III
E03362.mat 16x1+24 1000.0(0)/mV 16 0 -85 28136 0 aVR
E03362.mat 16x1+24 1000.0(0)/mV 16 0 17 -17152 0 aVL
E03362.mat 16x1+24 1000.0(0)/mV 16 0 68 -11195 0 aVF
E03362.mat 16x1+24 1000.0(0)/mV 16 0 126 12167 0 V1
E03362.mat 16x1+24 1000.0(0)/mV 16 0 170 -25219 0 V2
E03362.mat 16x1+24 1000.0(0)/mV 16 0 102 7107 0 V3
E03362.mat 16x1+24 1000.0(0)/mV 16 0 92 5631 0 V4
E03362.mat 16x1+24 1000.0(0)/mV 16 0 34 20663 0 V5
E03362.mat 16x1+24 1000.0(0)/mV 16 0 0 13564 0 V6
# Age: 65
# Sex: Female
# Dx: 111975006,164930006,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown