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

File: <base>/training/georgia/g10/E09573.hea (714 bytes) 
E09573 12 500 5000
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5542 0 I
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6264 0 II
E09573.mat 16x1+24 1000.0(0)/mV 16 0 0 -353 0 III
E09573.mat 16x1+24 1000.0(0)/mV 16 0 48 -26858 0 aVR
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -24 -2112 0 aVL
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -24 29471 0 aVF
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -4 1214 0 V1
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -68 562 0 V2
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8557 0 V3
E09573.mat 16x1+24 1000.0(0)/mV 16 0 4 28663 0 V4
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19144 0 V5
E09573.mat 16x1+24 1000.0(0)/mV 16 0 -14 25829 0 V6
# Age: 81
# Sex: Male
# Dx: 427084000,164921003
# Rx: Unknown
# Hx: Unknown