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

File: <base>/training/georgia/g5/E04903.hea (709 bytes) 
E04903 12 500 5000
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24038 0 I
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -39 -12886 0 II
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -29 11097 0 III
E04903.mat 16x1+24 1000.0(0)/mV 16 0 24 18494 0 aVR
E04903.mat 16x1+24 1000.0(0)/mV 16 0 9 -17581 0 aVL
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -34 -975 0 aVF
E04903.mat 16x1+24 1000.0(0)/mV 16 0 0 23635 0 V1
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15291 0 V2
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -68 4408 0 V3
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -97 1562 0 V4
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -97 22140 0 V5
E04903.mat 16x1+24 1000.0(0)/mV 16 0 -107 5487 0 V6
# Age: 85
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown