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

File: <base>/training/georgia/g10/E09424.hea (751 bytes) 
E09424 12 500 5000
E09424.mat 16x1+24 1000.0(0)/mV 16 0 -87 -25092 0 I
E09424.mat 16x1+24 1000.0(0)/mV 16 0 -73 -26945 0 II
E09424.mat 16x1+24 1000.0(0)/mV 16 0 14 -2267 0 III
E09424.mat 16x1+24 1000.0(0)/mV 16 0 80 -6828 0 aVR
E09424.mat 16x1+24 1000.0(0)/mV 16 0 -51 -11546 0 aVL
E09424.mat 16x1+24 1000.0(0)/mV 16 0 -29 18341 0 aVF
E09424.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19752 0 V1
E09424.mat 16x1+24 1000.0(0)/mV 16 0 0 27558 0 V2
E09424.mat 16x1+24 1000.0(0)/mV 16 0 34 11416 0 V3
E09424.mat 16x1+24 1000.0(0)/mV 16 0 34 24841 0 V4
E09424.mat 16x1+24 1000.0(0)/mV 16 0 53 -28622 0 V5
E09424.mat 16x1+24 1000.0(0)/mV 16 0 385 -7603 0 V6
# Age: 56
# Sex: Female
# Dx: 428750005,111975006,164930006,164934002,59931005
# Rx: Unknown
# Hx: Unknown