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

File: <base>/training/georgia/g7/E06892.hea (727 bytes) 
E06892 12 500 5000
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -68 1799 0 I
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -68 -5663 0 II
E06892.mat 16x1+24 1000.0(0)/mV 16 0 0 -8520 0 III
E06892.mat 16x1+24 1000.0(0)/mV 16 0 68 1651 0 aVR
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -34 5266 0 aVL
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7719 0 aVF
E06892.mat 16x1+24 1000.0(0)/mV 16 0 48 30850 0 V1
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24866 0 V2
E06892.mat 16x1+24 1000.0(0)/mV 16 0 4 -23466 0 V3
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6379 0 V4
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -43 -3949 0 V5
E06892.mat 16x1+24 1000.0(0)/mV 16 0 -48 714 0 V6
# Age: 60
# Sex: Male
# Dx: 251120003,67741000119109,266249003
# Rx: Unknown
# Hx: Unknown