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

File: <base>/training/georgia/g10/E09137.hea (764 bytes) 
E09137 12 500 5000
E09137.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11686 0 I
E09137.mat 16x1+24 1000.0(0)/mV 16 0 -234 -1647 0 II
E09137.mat 16x1+24 1000.0(0)/mV 16 0 -204 10835 0 III
E09137.mat 16x1+24 1000.0(0)/mV 16 0 131 -26046 0 aVR
E09137.mat 16x1+24 1000.0(0)/mV 16 0 87 -11700 0 aVL
E09137.mat 16x1+24 1000.0(0)/mV 16 0 -219 -28131 0 aVF
E09137.mat 16x1+24 1000.0(0)/mV 16 0 97 -9977 0 V1
E09137.mat 16x1+24 1000.0(0)/mV 16 0 48 24862 0 V2
E09137.mat 16x1+24 1000.0(0)/mV 16 0 97 6612 0 V3
E09137.mat 16x1+24 1000.0(0)/mV 16 0 87 12694 0 V4
E09137.mat 16x1+24 1000.0(0)/mV 16 0 68 -10710 0 V5
E09137.mat 16x1+24 1000.0(0)/mV 16 0 -429 32296 0 V6
# Age: 55
# Sex: Male
# Dx: 713426002,428750005,111975006,164930006,164890007,233917008
# Rx: Unknown
# Hx: Unknown