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

File: <base>/training/georgia/g10/E09149.hea (719 bytes) 
E09149 12 500 5000
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 25382 0 I
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 15632 0 II
E09149.mat 16x1+24 1000.0(0)/mV 16 0 0 -9736 0 III
E09149.mat 16x1+24 1000.0(0)/mV 16 0 19 -20461 0 aVR
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -9 17471 0 aVL
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -9 3243 0 aVF
E09149.mat 16x1+24 1000.0(0)/mV 16 0 0 -16357 0 V1
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28606 0 V2
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12105 0 V3
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 25539 0 V4
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 4224 0 V5
E09149.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24266 0 V6
# Age: 57
# Sex: Female
# Dx: 164934002,164917005
# Rx: Unknown
# Hx: Unknown