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

File: <base>/training/georgia/g6/E05874.hea (722 bytes) 
E05874 12 500 5000
E05874.mat 16x1+24 1000.0(0)/mV 16 0 29 8144 0 I
E05874.mat 16x1+24 1000.0(0)/mV 16 0 0 25563 0 II
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -29 17566 0 III
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -14 15940 0 aVR
E05874.mat 16x1+24 1000.0(0)/mV 16 0 29 28249 0 aVL
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -14 21693 0 aVF
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -78 -23190 0 V1
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24947 0 V2
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -68 -26885 0 V3
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29604 0 V4
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8148 0 V5
E05874.mat 16x1+24 1000.0(0)/mV 16 0 -29 7963 0 V6
# Age: 71
# Sex: Female
# Dx: 164934002,427393009
# Rx: Unknown
# Hx: Unknown