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

File: <base>/training/georgia/g10/E09423.hea (716 bytes) 
E09423 12 500 5000
E09423.mat 16x1+24 1000.0(0)/mV 16 0 0 -16267 0 I
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -58 23633 0 II
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24514 0 III
E09423.mat 16x1+24 1000.0(0)/mV 16 0 29 28744 0 aVR
E09423.mat 16x1+24 1000.0(0)/mV 16 0 29 -28995 0 aVL
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -58 -350 0 aVF
E09423.mat 16x1+24 1000.0(0)/mV 16 0 68 -3703 0 V1
E09423.mat 16x1+24 1000.0(0)/mV 16 0 185 17624 0 V2
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8155 0 V3
E09423.mat 16x1+24 1000.0(0)/mV 16 0 39 3369 0 V4
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -165 460 0 V5
E09423.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17792 0 V6
# Age: 80
# Sex: Male
# Dx: 164909002,27885002
# Rx: Unknown
# Hx: Unknown