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

File: <base>/training/georgia/g8/E07944.hea (710 bytes) 
E07944 12 500 5000
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -48 -778 0 I
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -29 9076 0 II
E07944.mat 16x1+24 1000.0(0)/mV 16 0 19 9046 0 III
E07944.mat 16x1+24 1000.0(0)/mV 16 0 39 -4180 0 aVR
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -34 -5069 0 aVL
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -4 9086 0 aVF
E07944.mat 16x1+24 1000.0(0)/mV 16 0 9 12290 0 V1
E07944.mat 16x1+24 1000.0(0)/mV 16 0 29 -3274 0 V2
E07944.mat 16x1+24 1000.0(0)/mV 16 0 58 -19927 0 V3
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6868 0 V4
E07944.mat 16x1+24 1000.0(0)/mV 16 0 -29 4241 0 V5
E07944.mat 16x1+24 1000.0(0)/mV 16 0 0 -31156 0 V6
# Age: 54
# Sex: Female
# Dx: 164873001,59931005
# Rx: Unknown
# Hx: Unknown