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

File: <base>/training/georgia/g9/E08034.hea (711 bytes) 
E08034 12 500 5000
E08034.mat 16x1+24 1000.0(0)/mV 16 0 -97 -8324 0 I
E08034.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10035 0 II
E08034.mat 16x1+24 1000.0(0)/mV 16 0 87 -2009 0 III
E08034.mat 16x1+24 1000.0(0)/mV 16 0 53 -23545 0 aVR
E08034.mat 16x1+24 1000.0(0)/mV 16 0 -92 -2774 0 aVL
E08034.mat 16x1+24 1000.0(0)/mV 16 0 39 27077 0 aVF
E08034.mat 16x1+24 1000.0(0)/mV 16 0 9 663 0 V1
E08034.mat 16x1+24 1000.0(0)/mV 16 0 29 7904 0 V2
E08034.mat 16x1+24 1000.0(0)/mV 16 0 48 -7743 0 V3
E08034.mat 16x1+24 1000.0(0)/mV 16 0 9 1397 0 V4
E08034.mat 16x1+24 1000.0(0)/mV 16 0 29 -12047 0 V5
E08034.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15176 0 V6
# Age: 71
# Sex: Female
# Dx: 164889003,59931005
# Rx: Unknown
# Hx: Unknown