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

File: <base>/training/georgia/g10/E09581.hea (709 bytes) 
E09581 12 500 5000
E09581.mat 16x1+24 1000.0(0)/mV 16 0 112 -18546 0 I
E09581.mat 16x1+24 1000.0(0)/mV 16 0 126 9872 0 II
E09581.mat 16x1+24 1000.0(0)/mV 16 0 14 28135 0 III
E09581.mat 16x1+24 1000.0(0)/mV 16 0 -119 4160 0 aVR
E09581.mat 16x1+24 1000.0(0)/mV 16 0 48 -23550 0 aVL
E09581.mat 16x1+24 1000.0(0)/mV 16 0 70 18876 0 aVF
E09581.mat 16x1+24 1000.0(0)/mV 16 0 24 3060 0 V1
E09581.mat 16x1+24 1000.0(0)/mV 16 0 -58 30212 0 V2
E09581.mat 16x1+24 1000.0(0)/mV 16 0 19 26700 0 V3
E09581.mat 16x1+24 1000.0(0)/mV 16 0 87 24070 0 V4
E09581.mat 16x1+24 1000.0(0)/mV 16 0 917 -28694 0 V5
E09581.mat 16x1+24 1000.0(0)/mV 16 0 122 18538 0 V6
# Age: 87
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown