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

File: <base>/training/georgia/g4/E03723.hea (713 bytes) 
E03723 12 500 5000
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -48 24782 0 I
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -39 23227 0 II
E03723.mat 16x1+24 1000.0(0)/mV 16 0 9 -1876 0 III
E03723.mat 16x1+24 1000.0(0)/mV 16 0 43 -23961 0 aVR
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19132 0 aVL
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -14 -21989 0 aVF
E03723.mat 16x1+24 1000.0(0)/mV 16 0 0 -31601 0 V1
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19152 0 V2
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8570 0 V3
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -39 13988 0 V4
E03723.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4427 0 V5
E03723.mat 16x1+24 1000.0(0)/mV 16 0 0 -21143 0 V6
# Age: 79
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown