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

File: <base>/training/georgia/g4/E03793.hea (719 bytes) 
E03793 12 500 5000
E03793.mat 16x1+24 1000.0(0)/mV 16 0 351 -14797 0 I
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -341 -12990 0 II
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -692 1942 0 III
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -4 13894 0 aVR
E03793.mat 16x1+24 1000.0(0)/mV 16 0 522 -7798 0 aVL
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -517 -5273 0 aVF
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -556 29290 0 V1
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -878 -27499 0 V2
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -849 -8416 0 V3
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -214 -2723 0 V4
E03793.mat 16x1+24 1000.0(0)/mV 16 0 -48 748 0 V5
E03793.mat 16x1+24 1000.0(0)/mV 16 0 312 -16670 0 V6
# Age: 62
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown