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

File: <base>/training/georgia/g7/E06752.hea (733 bytes) 
E06752 12 500 5000
E06752.mat 16x1+24 1000.0(0)/mV 16 0 126 -9085 0 I
E06752.mat 16x1+24 1000.0(0)/mV 16 0 224 30014 0 II
E06752.mat 16x1+24 1000.0(0)/mV 16 0 97 -26387 0 III
E06752.mat 16x1+24 1000.0(0)/mV 16 0 -175 -10480 0 aVR
E06752.mat 16x1+24 1000.0(0)/mV 16 0 14 -23905 0 aVL
E06752.mat 16x1+24 1000.0(0)/mV 16 0 161 -30860 0 aVF
E06752.mat 16x1+24 1000.0(0)/mV 16 0 68 5211 0 V1
E06752.mat 16x1+24 1000.0(0)/mV 16 0 78 1573 0 V2
E06752.mat 16x1+24 1000.0(0)/mV 16 0 78 -26427 0 V3
E06752.mat 16x1+24 1000.0(0)/mV 16 0 126 27840 0 V4
E06752.mat 16x1+24 1000.0(0)/mV 16 0 204 16986 0 V5
E06752.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11359 0 V6
# Age: 88
# Sex: Female
# Dx: 17338001,427084000,164934002
# Rx: Unknown
# Hx: Unknown