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

File: <base>/training/georgia/g10/E09773.hea (723 bytes) 
E09773 12 500 5000
E09773.mat 16x1+24 1000.0(0)/mV 16 0 78 6179 0 I
E09773.mat 16x1+24 1000.0(0)/mV 16 0 87 -15151 0 II
E09773.mat 16x1+24 1000.0(0)/mV 16 0 9 -21796 0 III
E09773.mat 16x1+24 1000.0(0)/mV 16 0 -82 -28385 0 aVR
E09773.mat 16x1+24 1000.0(0)/mV 16 0 34 14061 0 aVL
E09773.mat 16x1+24 1000.0(0)/mV 16 0 48 14110 0 aVF
E09773.mat 16x1+24 1000.0(0)/mV 16 0 19 -30492 0 V1
E09773.mat 16x1+24 1000.0(0)/mV 16 0 19 15290 0 V2
E09773.mat 16x1+24 1000.0(0)/mV 16 0 -58 -9090 0 V3
E09773.mat 16x1+24 1000.0(0)/mV 16 0 -68 30564 0 V4
E09773.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15882 0 V5
E09773.mat 16x1+24 1000.0(0)/mV 16 0 -34 -11286 0 V6
# Age: 89
# Sex: Male
# Dx: 270492004,39732003,427084000,59931005
# Rx: Unknown