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

File: <base>/training/georgia/g1/E00403.hea (715 bytes) 
E00403 12 500 5000
E00403.mat 16x1+24 1000.0(0)/mV 16 0 -346 16193 0 I
E00403.mat 16x1+24 1000.0(0)/mV 16 0 -4 10539 0 II
E00403.mat 16x1+24 1000.0(0)/mV 16 0 341 -6031 0 III
E00403.mat 16x1+24 1000.0(0)/mV 16 0 175 -13659 0 aVR
E00403.mat 16x1+24 1000.0(0)/mV 16 0 -344 11199 0 aVL
E00403.mat 16x1+24 1000.0(0)/mV 16 0 168 1899 0 aVF
E00403.mat 16x1+24 1000.0(0)/mV 16 0 170 -26769 0 V1
E00403.mat 16x1+24 1000.0(0)/mV 16 0 136 28422 0 V2
E00403.mat 16x1+24 1000.0(0)/mV 16 0 102 8894 0 V3
E00403.mat 16x1+24 1000.0(0)/mV 16 0 156 25607 0 V4
E00403.mat 16x1+24 1000.0(0)/mV 16 0 -195 16460 0 V5
E00403.mat 16x1+24 1000.0(0)/mV 16 0 527 -23229 0 V6
# Age: 78
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown