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

File: <base>/training/georgia/g11/E10314.hea (722 bytes) 
E10314 12 500 5000
E10314.mat 16x1+24 1000.0(0)/mV 16 0 -39 21798 0 I
E10314.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5532 0 II
E10314.mat 16x1+24 1000.0(0)/mV 16 0 19 -26652 0 III
E10314.mat 16x1+24 1000.0(0)/mV 16 0 29 -8177 0 aVR
E10314.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8054 0 aVL
E10314.mat 16x1+24 1000.0(0)/mV 16 0 0 16752 0 aVF
E10314.mat 16x1+24 1000.0(0)/mV 16 0 -9 1364 0 V1
E10314.mat 16x1+24 1000.0(0)/mV 16 0 39 6793 0 V2
E10314.mat 16x1+24 1000.0(0)/mV 16 0 39 15807 0 V3
E10314.mat 16x1+24 1000.0(0)/mV 16 0 48 -470 0 V4
E10314.mat 16x1+24 1000.0(0)/mV 16 0 9 16453 0 V5
E10314.mat 16x1+24 1000.0(0)/mV 16 0 -39 10496 0 V6
# Age: 80
# Sex: Female
# Dx: 428750005,164889003,251146004
# Rx: Unknown
# Hx: Unknown