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

File: <base>/training/georgia/g2/E01692.hea (711 bytes) 
E01692 12 500 5000
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -48 3779 0 I
E01692.mat 16x1+24 1000.0(0)/mV 16 0 19 -24401 0 II
E01692.mat 16x1+24 1000.0(0)/mV 16 0 68 -27382 0 III
E01692.mat 16x1+24 1000.0(0)/mV 16 0 14 -22537 0 aVR
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -58 15464 0 aVL
E01692.mat 16x1+24 1000.0(0)/mV 16 0 43 6791 0 aVF
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -19 2315 0 V1
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -19 7041 0 V2
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -9 21469 0 V3
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31353 0 V4
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -107 14767 0 V5
E01692.mat 16x1+24 1000.0(0)/mV 16 0 -87 -19771 0 V6
# Age: 33
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown