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

File: <base>/training/georgia/g9/E08994.hea (706 bytes) 
E08994 12 500 5000
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4139 0 I
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -48 -449 0 II
E08994.mat 16x1+24 1000.0(0)/mV 16 0 0 4041 0 III
E08994.mat 16x1+24 1000.0(0)/mV 16 0 48 2055 0 aVR
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -24 -4283 0 aVL
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -24 1937 0 aVF
E08994.mat 16x1+24 1000.0(0)/mV 16 0 9 -8440 0 V1
E08994.mat 16x1+24 1000.0(0)/mV 16 0 0 -2767 0 V2
E08994.mat 16x1+24 1000.0(0)/mV 16 0 68 -13516 0 V3
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -78 6355 0 V4
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -117 -30780 0 V5
E08994.mat 16x1+24 1000.0(0)/mV 16 0 -107 -18056 0 V6
# Age: 58
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown