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

File: <base>/training/georgia/g8/E07964.hea (717 bytes) 
E07964 12 500 5000
E07964.mat 16x1+24 1000.0(0)/mV 16 0 180 -10164 0 I
E07964.mat 16x1+24 1000.0(0)/mV 16 0 0 23716 0 II
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -180 -31028 0 III
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -90 -6909 0 aVR
E07964.mat 16x1+24 1000.0(0)/mV 16 0 180 -22187 0 aVL
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -90 29047 0 aVF
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -161 -21940 0 V1
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -4 -27930 0 V2
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -53 31338 0 V3
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16527 0 V4
E07964.mat 16x1+24 1000.0(0)/mV 16 0 24 -17630 0 V5
E07964.mat 16x1+24 1000.0(0)/mV 16 0 -4 -731 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown