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

File: <base>/training/georgia/g10/E09342.hea (714 bytes) 
E09342 12 500 5000
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -24 -7035 0 I
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9097 0 II
E09342.mat 16x1+24 1000.0(0)/mV 16 0 4 -1861 0 III
E09342.mat 16x1+24 1000.0(0)/mV 16 0 21 8353 0 aVR
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -14 -2017 0 aVL
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -7 -5395 0 aVF
E09342.mat 16x1+24 1000.0(0)/mV 16 0 39 -25104 0 V1
E09342.mat 16x1+24 1000.0(0)/mV 16 0 4 12205 0 V2
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2783 0 V3
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4071 0 V4
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -29 8922 0 V5
E09342.mat 16x1+24 1000.0(0)/mV 16 0 -19 -486 0 V6
# Age: 32
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown