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

File: <base>/training/georgia/g10/E09395.hea (735 bytes) 
E09395 12 500 5000
E09395.mat 16x1+24 1000.0(0)/mV 16 0 19 -28835 0 I
E09395.mat 16x1+24 1000.0(0)/mV 16 0 19 -18964 0 II
E09395.mat 16x1+24 1000.0(0)/mV 16 0 0 9676 0 III
E09395.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8846 0 aVR
E09395.mat 16x1+24 1000.0(0)/mV 16 0 9 -19183 0 aVL
E09395.mat 16x1+24 1000.0(0)/mV 16 0 9 28260 0 aVF
E09395.mat 16x1+24 1000.0(0)/mV 16 0 29 -7647 0 V1
E09395.mat 16x1+24 1000.0(0)/mV 16 0 0 -28429 0 V2
E09395.mat 16x1+24 1000.0(0)/mV 16 0 29 -780 0 V3
E09395.mat 16x1+24 1000.0(0)/mV 16 0 322 -20575 0 V4
E09395.mat 16x1+24 1000.0(0)/mV 16 0 -78 30719 0 V5
E09395.mat 16x1+24 1000.0(0)/mV 16 0 -331 -12213 0 V6
# Age: 73
# Sex: Male
# Dx: 425419005,426434006,164934002,164890007
# Rx: Unknown
# Hx: Unknown