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

File: <base>/training/georgia/g9/E08209.hea (729 bytes) 
E08209 12 500 5000
E08209.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9413 0 I
E08209.mat 16x1+24 1000.0(0)/mV 16 0 0 15528 0 II
E08209.mat 16x1+24 1000.0(0)/mV 16 0 146 24635 0 III
E08209.mat 16x1+24 1000.0(0)/mV 16 0 73 29016 0 aVR
E08209.mat 16x1+24 1000.0(0)/mV 16 0 -146 -16913 0 aVL
E08209.mat 16x1+24 1000.0(0)/mV 16 0 73 -13050 0 aVF
E08209.mat 16x1+24 1000.0(0)/mV 16 0 48 21983 0 V1
E08209.mat 16x1+24 1000.0(0)/mV 16 0 68 -1967 0 V2
E08209.mat 16x1+24 1000.0(0)/mV 16 0 87 -29096 0 V3
E08209.mat 16x1+24 1000.0(0)/mV 16 0 78 11386 0 V4
E08209.mat 16x1+24 1000.0(0)/mV 16 0 107 32131 0 V5
E08209.mat 16x1+24 1000.0(0)/mV 16 0 68 27978 0 V6
# Age: 77
# Sex: Female
# Dx: 425623009,59931005,164934002
# Rx: Unknown
# Hx: Unknown