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

File: <base>/training/georgia/g8/E07989.hea (727 bytes) 
E07989 12 500 5000
E07989.mat 16x1+24 1000.0(0)/mV 16 0 9 -32415 0 I
E07989.mat 16x1+24 1000.0(0)/mV 16 0 -9 24864 0 II
E07989.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8207 0 III
E07989.mat 16x1+24 1000.0(0)/mV 16 0 0 -29232 0 aVR
E07989.mat 16x1+24 1000.0(0)/mV 16 0 14 -11925 0 aVL
E07989.mat 16x1+24 1000.0(0)/mV 16 0 -14 -24409 0 aVF
E07989.mat 16x1+24 1000.0(0)/mV 16 0 107 -14170 0 V1
E07989.mat 16x1+24 1000.0(0)/mV 16 0 48 -9332 0 V2
E07989.mat 16x1+24 1000.0(0)/mV 16 0 68 -20477 0 V3
E07989.mat 16x1+24 1000.0(0)/mV 16 0 78 -3822 0 V4
E07989.mat 16x1+24 1000.0(0)/mV 16 0 48 -13198 0 V5
E07989.mat 16x1+24 1000.0(0)/mV 16 0 39 32366 0 V6
# Age: 57
# Sex: Male
# Dx: 445118002,59931005,164934002
# Rx: Unknown
# Hx: Unknown