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

File: <base>/training/georgia/g10/E09355.hea (700 bytes) 
E09355 12 500 5000
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -73 3717 0 I
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -58 8584 0 II
E09355.mat 16x1+24 1000.0(0)/mV 16 0 14 4397 0 III
E09355.mat 16x1+24 1000.0(0)/mV 16 0 65 -6249 0 aVR
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -43 -298 0 aVL
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -21 6787 0 aVF
E09355.mat 16x1+24 1000.0(0)/mV 16 0 78 26732 0 V1
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -48 13314 0 V2
E09355.mat 16x1+24 1000.0(0)/mV 16 0 48 11075 0 V3
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -19 9879 0 V4
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -63 14510 0 V5
E09355.mat 16x1+24 1000.0(0)/mV 16 0 -68 13595 0 V6
# Age: 89
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown