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

File: <base>/training/georgia/g8/E07905.hea (719 bytes) 
E07905 12 500 5000
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -117 19957 0 I
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -73 27453 0 II
E07905.mat 16x1+24 1000.0(0)/mV 16 0 43 6409 0 III
E07905.mat 16x1+24 1000.0(0)/mV 16 0 95 -23293 0 aVR
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -80 6967 0 aVL
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -14 17356 0 aVF
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -4 -19344 0 V1
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -73 24460 0 V2
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -82 13615 0 V3
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -63 7986 0 V4
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -43 13393 0 V5
E07905.mat 16x1+24 1000.0(0)/mV 16 0 -43 12478 0 V6
# Age: 31
# Sex: Male
# Dx: 425419005,164873001
# Rx: Unknown
# Hx: Unknown