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

File: <base>/training/georgia/g7/E06917.hea (724 bytes) 
E06917 12 500 5000
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -63 5200 0 I
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -43 -23181 0 II
E06917.mat 16x1+24 1000.0(0)/mV 16 0 19 -28389 0 III
E06917.mat 16x1+24 1000.0(0)/mV 16 0 53 8715 0 aVR
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -41 17054 0 aVL
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -12 -25710 0 aVF
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -9 2118 0 V1
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -53 2514 0 V2
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -102 2424 0 V3
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -112 -319 0 V4
E06917.mat 16x1+24 1000.0(0)/mV 16 0 -87 8790 0 V5
E06917.mat 16x1+24 1000.0(0)/mV 16 0 14 475 0 V6
# Age: 78
# Sex: Male
# Dx: 425419005,164934002,164873001
# Rx: Unknown
# Hx: Unknown