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

File: <base>/training/georgia/g10/E09118.hea (734 bytes) 
E09118 12 500 5000
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -39 20536 0 I
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7390 0 II
E09118.mat 16x1+24 1000.0(0)/mV 16 0 0 -28529 0 III
E09118.mat 16x1+24 1000.0(0)/mV 16 0 39 26102 0 aVR
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7889 0 aVL
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17942 0 aVF
E09118.mat 16x1+24 1000.0(0)/mV 16 0 126 -32558 0 V1
E09118.mat 16x1+24 1000.0(0)/mV 16 0 175 11834 0 V2
E09118.mat 16x1+24 1000.0(0)/mV 16 0 136 -32159 0 V3
E09118.mat 16x1+24 1000.0(0)/mV 16 0 19 -23961 0 V4
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30259 0 V5
E09118.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26533 0 V6
# Age: 83
# Sex: Female
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown