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

File: <base>/training/georgia/g10/E09207.hea (717 bytes) 
E09207 12 500 5000
E09207.mat 16x1+24 1000.0(0)/mV 16 0 39 12319 0 I
E09207.mat 16x1+24 1000.0(0)/mV 16 0 117 -32110 0 II
E09207.mat 16x1+24 1000.0(0)/mV 16 0 78 21982 0 III
E09207.mat 16x1+24 1000.0(0)/mV 16 0 -78 -22861 0 aVR
E09207.mat 16x1+24 1000.0(0)/mV 16 0 -19 28426 0 aVL
E09207.mat 16x1+24 1000.0(0)/mV 16 0 97 -4963 0 aVF
E09207.mat 16x1+24 1000.0(0)/mV 16 0 -126 15370 0 V1
E09207.mat 16x1+24 1000.0(0)/mV 16 0 -136 16648 0 V2
E09207.mat 16x1+24 1000.0(0)/mV 16 0 -39 24422 0 V3
E09207.mat 16x1+24 1000.0(0)/mV 16 0 9 -12795 0 V4
E09207.mat 16x1+24 1000.0(0)/mV 16 0 39 8256 0 V5
E09207.mat 16x1+24 1000.0(0)/mV 16 0 48 4346 0 V6
# Age: 80
# Sex: Male
# Dx: 17338001,426177001
# Rx: Unknown
# Hx: Unknown