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

File: <base>/training/georgia/g10/E09719.hea (736 bytes) 
E09719 12 500 5000
E09719.mat 16x1+24 1000.0(0)/mV 16 0 253 -4416 0 I
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10554 0 II
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -292 -5610 0 III
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -107 7589 0 aVR
E09719.mat 16x1+24 1000.0(0)/mV 16 0 273 635 0 aVL
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -165 -8128 0 aVF
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -507 24626 0 V1
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -468 31615 0 V2
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -331 30754 0 V3
E09719.mat 16x1+24 1000.0(0)/mV 16 0 -117 -25970 0 V4
E09719.mat 16x1+24 1000.0(0)/mV 16 0 78 -25303 0 V5
E09719.mat 16x1+24 1000.0(0)/mV 16 0 107 30426 0 V6
# Age: 22
# Sex: Male
# Dx: 59118001,427084000,59931005
# Rx: Unknown
# Hx: Unknown