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

File: <base>/training/georgia/g6/E05885.hea (729 bytes) 
E05885 12 500 5000
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -48 5652 0 I
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19711 0 II
E05885.mat 16x1+24 1000.0(0)/mV 16 0 0 -25787 0 III
E05885.mat 16x1+24 1000.0(0)/mV 16 0 48 6787 0 aVR
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17158 0 aVL
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -24 9937 0 aVF
E05885.mat 16x1+24 1000.0(0)/mV 16 0 165 -2167 0 V1
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -165 -2561 0 V2
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -48 2034 0 V3
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -48 12574 0 V4
E05885.mat 16x1+24 1000.0(0)/mV 16 0 9 -2401 0 V5
E05885.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3336 0 V6
# Age: 63
# Sex: Female
# Dx: 425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown