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

File: <base>/training/georgia/g10/E09403.hea (705 bytes) 
E09403 12 500 5000
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13603 0 I
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13492 0 II
E09403.mat 16x1+24 1000.0(0)/mV 16 0 0 43 0 III
E09403.mat 16x1+24 1000.0(0)/mV 16 0 19 13393 0 aVR
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6525 0 aVL
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6578 0 aVF
E09403.mat 16x1+24 1000.0(0)/mV 16 0 39 20845 0 V1
E09403.mat 16x1+24 1000.0(0)/mV 16 0 19 -27174 0 V2
E09403.mat 16x1+24 1000.0(0)/mV 16 0 0 -19516 0 V3
E09403.mat 16x1+24 1000.0(0)/mV 16 0 9 -17542 0 V4
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20887 0 V5
E09403.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24379 0 V6
# Age: 69
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown