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

File: <base>/training/georgia/g7/E06939.hea (714 bytes) 
E06939 12 500 5000
E06939.mat 16x1+24 1000.0(0)/mV 16 0 68 -23733 0 I
E06939.mat 16x1+24 1000.0(0)/mV 16 0 29 -20924 0 II
E06939.mat 16x1+24 1000.0(0)/mV 16 0 -39 2835 0 III
E06939.mat 16x1+24 1000.0(0)/mV 16 0 -48 22335 0 aVR
E06939.mat 16x1+24 1000.0(0)/mV 16 0 53 -13219 0 aVL
E06939.mat 16x1+24 1000.0(0)/mV 16 0 -4 -8956 0 aVF
E06939.mat 16x1+24 1000.0(0)/mV 16 0 9 -28055 0 V1
E06939.mat 16x1+24 1000.0(0)/mV 16 0 107 11766 0 V2
E06939.mat 16x1+24 1000.0(0)/mV 16 0 126 -31546 0 V3
E06939.mat 16x1+24 1000.0(0)/mV 16 0 136 -12513 0 V4
E06939.mat 16x1+24 1000.0(0)/mV 16 0 107 -16021 0 V5
E06939.mat 16x1+24 1000.0(0)/mV 16 0 97 -26771 0 V6
# Age: 82
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown