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

File: <base>/training/georgia/g9/E08885.hea (724 bytes) 
E08885 12 500 5000
E08885.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9923 0 I
E08885.mat 16x1+24 1000.0(0)/mV 16 0 -73 20746 0 II
E08885.mat 16x1+24 1000.0(0)/mV 16 0 -43 31062 0 III
E08885.mat 16x1+24 1000.0(0)/mV 16 0 51 -5370 0 aVR
E08885.mat 16x1+24 1000.0(0)/mV 16 0 7 -20367 0 aVL
E08885.mat 16x1+24 1000.0(0)/mV 16 0 -58 25899 0 aVF
E08885.mat 16x1+24 1000.0(0)/mV 16 0 34 -29814 0 V1
E08885.mat 16x1+24 1000.0(0)/mV 16 0 9 12407 0 V2
E08885.mat 16x1+24 1000.0(0)/mV 16 0 4 2445 0 V3
E08885.mat 16x1+24 1000.0(0)/mV 16 0 19 7231 0 V4
E08885.mat 16x1+24 1000.0(0)/mV 16 0 43 10162 0 V5
E08885.mat 16x1+24 1000.0(0)/mV 16 0 -82 -11111 0 V6
# Age: 42
# Sex: Female
# Dx: 428750005,164934002,59931005
# Rx: Unknown
# Hx: Unknown