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

File: <base>/training/georgia/g4/E03944.hea (760 bytes) 
E03944 12 500 5000
E03944.mat 16x1+24 1000.0(0)/mV 16 0 34 -32302 0 I
E03944.mat 16x1+24 1000.0(0)/mV 16 0 4 -9866 0 II
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -29 22931 0 III
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12119 0 aVR
E03944.mat 16x1+24 1000.0(0)/mV 16 0 31 -27830 0 aVL
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -12 -26230 0 aVF
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -43 8925 0 V1
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18451 0 V2
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -34 -11885 0 V3
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1298 0 V4
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7213 0 V5
E03944.mat 16x1+24 1000.0(0)/mV 16 0 -58 -807 0 V6
# Age: 71
# Sex: Male
# Dx: 17338001,17338001,164889003,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown