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

File: <base>/training/georgia/g9/E08865.hea (713 bytes) 
E08865 12 500 5000
E08865.mat 16x1+24 1000.0(0)/mV 16 0 126 -25124 0 I
E08865.mat 16x1+24 1000.0(0)/mV 16 0 102 -15939 0 II
E08865.mat 16x1+24 1000.0(0)/mV 16 0 -24 9217 0 III
E08865.mat 16x1+24 1000.0(0)/mV 16 0 -114 -12248 0 aVR
E08865.mat 16x1+24 1000.0(0)/mV 16 0 75 -16965 0 aVL
E08865.mat 16x1+24 1000.0(0)/mV 16 0 39 29590 0 aVF
E08865.mat 16x1+24 1000.0(0)/mV 16 0 14 -4528 0 V1
E08865.mat 16x1+24 1000.0(0)/mV 16 0 4 -9443 0 V2
E08865.mat 16x1+24 1000.0(0)/mV 16 0 34 -8311 0 V3
E08865.mat 16x1+24 1000.0(0)/mV 16 0 29 -16116 0 V4
E08865.mat 16x1+24 1000.0(0)/mV 16 0 -43 -12843 0 V5
E08865.mat 16x1+24 1000.0(0)/mV 16 0 -63 -5665 0 V6
# Age: 70
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown