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

File: <base>/training/georgia/g9/E08515.hea (713 bytes) 
E08515 12 500 5000
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -48 15283 0 I
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -122 31822 0 II
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -73 17232 0 III
E08515.mat 16x1+24 1000.0(0)/mV 16 0 85 -23692 0 aVR
E08515.mat 16x1+24 1000.0(0)/mV 16 0 12 -1427 0 aVL
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -97 24630 0 aVF
E08515.mat 16x1+24 1000.0(0)/mV 16 0 14 -25126 0 V1
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -34 13458 0 V2
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -73 -16704 0 V3
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -180 -8646 0 V4
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -156 1606 0 V5
E08515.mat 16x1+24 1000.0(0)/mV 16 0 -14 5009 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown