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

File: <base>/training/georgia/g10/E09114.hea (713 bytes) 
E09114 12 500 5000
E09114.mat 16x1+24 1000.0(0)/mV 16 0 0 -24841 0 I
E09114.mat 16x1+24 1000.0(0)/mV 16 0 9 -6910 0 II
E09114.mat 16x1+24 1000.0(0)/mV 16 0 9 17894 0 III
E09114.mat 16x1+24 1000.0(0)/mV 16 0 -4 15621 0 aVR
E09114.mat 16x1+24 1000.0(0)/mV 16 0 -4 -21404 0 aVL
E09114.mat 16x1+24 1000.0(0)/mV 16 0 9 5612 0 aVF
E09114.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21043 0 V1
E09114.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27897 0 V2
E09114.mat 16x1+24 1000.0(0)/mV 16 0 0 -29988 0 V3
E09114.mat 16x1+24 1000.0(0)/mV 16 0 0 -17919 0 V4
E09114.mat 16x1+24 1000.0(0)/mV 16 0 0 -25386 0 V5
E09114.mat 16x1+24 1000.0(0)/mV 16 0 29 8875 0 V6
# Age: 55
# Sex: Male
# Dx: 67741000119109,164934002
# Rx: Unknown
# Hx: Unknown