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

File: <base>/training/georgia/g5/E04091.hea (724 bytes) 
E04091 12 500 5000
E04091.mat 16x1+24 1000.0(0)/mV 16 0 -9 27465 0 I
E04091.mat 16x1+24 1000.0(0)/mV 16 0 4 -31926 0 II
E04091.mat 16x1+24 1000.0(0)/mV 16 0 14 6569 0 III
E04091.mat 16x1+24 1000.0(0)/mV 16 0 2 -31229 0 aVR
E04091.mat 16x1+24 1000.0(0)/mV 16 0 -12 10352 0 aVL
E04091.mat 16x1+24 1000.0(0)/mV 16 0 9 19642 0 aVF
E04091.mat 16x1+24 1000.0(0)/mV 16 0 -78 -27356 0 V1
E04091.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7508 0 V2
E04091.mat 16x1+24 1000.0(0)/mV 16 0 43 -24498 0 V3
E04091.mat 16x1+24 1000.0(0)/mV 16 0 170 25324 0 V4
E04091.mat 16x1+24 1000.0(0)/mV 16 0 122 14183 0 V5
E04091.mat 16x1+24 1000.0(0)/mV 16 0 58 23930 0 V6
# Age: 62
# Sex: Male
# Dx: 39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown