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

File: <base>/training/georgia/g5/E04079.hea (739 bytes) 
E04079 12 500 5000
E04079.mat 16x1+24 1000.0(0)/mV 16 0 283 -24088 0 I
E04079.mat 16x1+24 1000.0(0)/mV 16 0 409 -24370 0 II
E04079.mat 16x1+24 1000.0(0)/mV 16 0 126 -348 0 III
E04079.mat 16x1+24 1000.0(0)/mV 16 0 -346 -8607 0 aVR
E04079.mat 16x1+24 1000.0(0)/mV 16 0 78 21046 0 aVL
E04079.mat 16x1+24 1000.0(0)/mV 16 0 268 -12348 0 aVF
E04079.mat 16x1+24 1000.0(0)/mV 16 0 -117 24678 0 V1
E04079.mat 16x1+24 1000.0(0)/mV 16 0 322 -10920 0 V2
E04079.mat 16x1+24 1000.0(0)/mV 16 0 322 1536 0 V3
E04079.mat 16x1+24 1000.0(0)/mV 16 0 458 -13000 0 V4
E04079.mat 16x1+24 1000.0(0)/mV 16 0 302 -4164 0 V5
E04079.mat 16x1+24 1000.0(0)/mV 16 0 283 -10383 0 V6
# Age: 57
# Sex: Female
# Dx: 713426002,445118002,428750005
# Rx: Unknown
# Hx: Unknown