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

File: <base>/training/georgia/g9/E08092.hea (709 bytes) 
E08092 12 500 5000
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -29 24250 0 I
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -39 24435 0 II
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -9 -137 0 III
E08092.mat 16x1+24 1000.0(0)/mV 16 0 34 -24424 0 aVR
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -9 12609 0 aVL
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -24 12274 0 aVF
E08092.mat 16x1+24 1000.0(0)/mV 16 0 87 25794 0 V1
E08092.mat 16x1+24 1000.0(0)/mV 16 0 165 5077 0 V2
E08092.mat 16x1+24 1000.0(0)/mV 16 0 97 -15875 0 V3
E08092.mat 16x1+24 1000.0(0)/mV 16 0 58 7065 0 V4
E08092.mat 16x1+24 1000.0(0)/mV 16 0 9 730 0 V5
E08092.mat 16x1+24 1000.0(0)/mV 16 0 -9 -6814 0 V6
# Age: 60
# Sex: Male
# Dx: 428750005,59931005
# Rx: Unknown
# Hx: Unknown