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

File: <base>/training/georgia/g2/E01434.hea (720 bytes) 
E01434 12 500 5000
E01434.mat 16x1+24 1000.0(0)/mV 16 0 244 19029 0 I
E01434.mat 16x1+24 1000.0(0)/mV 16 0 273 12963 0 II
E01434.mat 16x1+24 1000.0(0)/mV 16 0 29 -5822 0 III
E01434.mat 16x1+24 1000.0(0)/mV 16 0 -258 -16636 0 aVR
E01434.mat 16x1+24 1000.0(0)/mV 16 0 107 -20307 0 aVL
E01434.mat 16x1+24 1000.0(0)/mV 16 0 151 -29164 0 aVF
E01434.mat 16x1+24 1000.0(0)/mV 16 0 -273 29963 0 V1
E01434.mat 16x1+24 1000.0(0)/mV 16 0 -488 -18672 0 V2
E01434.mat 16x1+24 1000.0(0)/mV 16 0 497 4707 0 V3
E01434.mat 16x1+24 1000.0(0)/mV 16 0 692 -29538 0 V4
E01434.mat 16x1+24 1000.0(0)/mV 16 0 653 -31955 0 V5
E01434.mat 16x1+24 1000.0(0)/mV 16 0 507 -20477 0 V6
# Age: 60
# Sex: Male
# Dx: 111975006
# Rx: Unknown
# Hx: Unknown