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

File: <base>/training/georgia/g10/E09742.hea (703 bytes) 
E09742 12 500 5000
E09742.mat 16x1+24 1000.0(0)/mV 16 0 68 8293 0 I
E09742.mat 16x1+24 1000.0(0)/mV 16 0 117 -11593 0 II
E09742.mat 16x1+24 1000.0(0)/mV 16 0 48 -19884 0 III
E09742.mat 16x1+24 1000.0(0)/mV 16 0 -92 1688 0 aVR
E09742.mat 16x1+24 1000.0(0)/mV 16 0 9 -18384 0 aVL
E09742.mat 16x1+24 1000.0(0)/mV 16 0 82 17293 0 aVF
E09742.mat 16x1+24 1000.0(0)/mV 16 0 29 14874 0 V1
E09742.mat 16x1+24 1000.0(0)/mV 16 0 126 -26203 0 V2
E09742.mat 16x1+24 1000.0(0)/mV 16 0 87 9391 0 V3
E09742.mat 16x1+24 1000.0(0)/mV 16 0 58 4488 0 V4
E09742.mat 16x1+24 1000.0(0)/mV 16 0 68 10629 0 V5
E09742.mat 16x1+24 1000.0(0)/mV 16 0 58 7064 0 V6
# Age: 31
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown