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

File: <base>/training/georgia/g10/E09419.hea (710 bytes) 
E09419 12 500 5000
E09419.mat 16x1+24 1000.0(0)/mV 16 0 -87 30504 0 I
E09419.mat 16x1+24 1000.0(0)/mV 16 0 0 -23014 0 II
E09419.mat 16x1+24 1000.0(0)/mV 16 0 87 11561 0 III
E09419.mat 16x1+24 1000.0(0)/mV 16 0 43 28668 0 aVR
E09419.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23366 0 aVL
E09419.mat 16x1+24 1000.0(0)/mV 16 0 43 -5958 0 aVF
E09419.mat 16x1+24 1000.0(0)/mV 16 0 204 -17792 0 V1
E09419.mat 16x1+24 1000.0(0)/mV 16 0 78 -13847 0 V2
E09419.mat 16x1+24 1000.0(0)/mV 16 0 136 -6409 0 V3
E09419.mat 16x1+24 1000.0(0)/mV 16 0 19 15972 0 V4
E09419.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31247 0 V5
E09419.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9408 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown