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

File: <base>/training/georgia/g7/E06991.hea (717 bytes) 
E06991 12 500 5000
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 13609 0 I
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 3332 0 II
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 -10476 0 III
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 24284 0 aVR
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 -20510 0 aVL
E06991.mat 16x1+24 1000.0(0)/mV 16 0 0 -3302 0 aVF
E06991.mat 16x1+24 1000.0(0)/mV 16 0 48 12422 0 V1
E06991.mat 16x1+24 1000.0(0)/mV 16 0 19 -25900 0 V2
E06991.mat 16x1+24 1000.0(0)/mV 16 0 87 15510 0 V3
E06991.mat 16x1+24 1000.0(0)/mV 16 0 48 -32257 0 V4
E06991.mat 16x1+24 1000.0(0)/mV 16 0 -39 31689 0 V5
E06991.mat 16x1+24 1000.0(0)/mV 16 0 -68 27259 0 V6
# Age: 76
# Sex: Male
# Dx: 59118001,164889003,59931005
# Rx: Unknown
# Hx: Unknown