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

File: <base>/training/georgia/g10/E09335.hea (762 bytes) 
E09335 12 500 5000
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -214 -15392 0 I
E09335.mat 16x1+24 1000.0(0)/mV 16 0 107 -26889 0 II
E09335.mat 16x1+24 1000.0(0)/mV 16 0 322 -11792 0 III
E09335.mat 16x1+24 1000.0(0)/mV 16 0 53 21236 0 aVR
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -268 -1581 0 aVL
E09335.mat 16x1+24 1000.0(0)/mV 16 0 214 -19244 0 aVF
E09335.mat 16x1+24 1000.0(0)/mV 16 0 58 -11174 0 V1
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -48 -16201 0 V2
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -1005 22982 0 V3
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -1444 29144 0 V4
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -273 7818 0 V5
E09335.mat 16x1+24 1000.0(0)/mV 16 0 -790 16796 0 V6
# Age: 71
# Sex: Male
# Dx: 713427006,426664006,59118001,425419005,164934002
# Rx: Unknown
# Hx: Unknown