Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(728 bytes)
E03295 12 500 5000
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -68 -9888 0 I
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -117 -15052 0 II
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4168 0 III
E03295.mat 16x1+24 1000.0(0)/mV 16 0 92 12536 0 aVR
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2989 0 aVL
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -82 -9567 0 aVF
E03295.mat 16x1+24 1000.0(0)/mV 16 0 82 -31762 0 V1
E03295.mat 16x1+24 1000.0(0)/mV 16 0 34 -30761 0 V2
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -131 -31117 0 V3
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -97 -10798 0 V4
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -82 -7218 0 V5
E03295.mat 16x1+24 1000.0(0)/mV 16 0 -73 -20776 0 V6
# Age: 62
# Sex: Female
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown