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

File: <base>/training/georgia/g7/E06872.hea (708 bytes) 
E06872 12 500 5000
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4526 0 I
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29165 0 II
E06872.mat 16x1+24 1000.0(0)/mV 16 0 9 -25097 0 III
E06872.mat 16x1+24 1000.0(0)/mV 16 0 82 -15951 0 aVR
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -48 9863 0 aVL
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -34 5661 0 aVF
E06872.mat 16x1+24 1000.0(0)/mV 16 0 9 -30532 0 V1
E06872.mat 16x1+24 1000.0(0)/mV 16 0 29 -14228 0 V2
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -68 32199 0 V3
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -78 24729 0 V4
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -68 -9732 0 V5
E06872.mat 16x1+24 1000.0(0)/mV 16 0 -87 1196 0 V6
# Age: 76
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown