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

File: <base>/training/georgia/g7/E06663.hea (710 bytes) 
E06663 12 500 5000
E06663.mat 16x1+24 1000.0(0)/mV 16 0 4 -12650 0 I
E06663.mat 16x1+24 1000.0(0)/mV 16 0 9 3423 0 II
E06663.mat 16x1+24 1000.0(0)/mV 16 0 4 16038 0 III
E06663.mat 16x1+24 1000.0(0)/mV 16 0 -7 4430 0 aVR
E06663.mat 16x1+24 1000.0(0)/mV 16 0 0 -13590 0 aVL
E06663.mat 16x1+24 1000.0(0)/mV 16 0 7 10320 0 aVF
E06663.mat 16x1+24 1000.0(0)/mV 16 0 19 -27301 0 V1
E06663.mat 16x1+24 1000.0(0)/mV 16 0 48 -11926 0 V2
E06663.mat 16x1+24 1000.0(0)/mV 16 0 29 -15784 0 V3
E06663.mat 16x1+24 1000.0(0)/mV 16 0 24 9478 0 V4
E06663.mat 16x1+24 1000.0(0)/mV 16 0 4 -14546 0 V5
E06663.mat 16x1+24 1000.0(0)/mV 16 0 -14 -9087 0 V6
# Age: 53
# Sex: Female
# Dx: 426177001,164934002
# Rx: Unknown
# Hx: Unknown