Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E02392 12 500 5000
E02392.mat 16x1+24 1000.0(0)/mV 16 0 0 -25412 0 I
E02392.mat 16x1+24 1000.0(0)/mV 16 0 39 -30621 0 II
E02392.mat 16x1+24 1000.0(0)/mV 16 0 39 -5814 0 III
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -19 28006 0 aVR
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9155 0 aVL
E02392.mat 16x1+24 1000.0(0)/mV 16 0 39 -17922 0 aVF
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -87 11611 0 V1
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27616 0 V2
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -39 -32257 0 V3
E02392.mat 16x1+24 1000.0(0)/mV 16 0 29 5973 0 V4
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -29 19686 0 V5
E02392.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27163 0 V6
# Age: 85
# Sex: Male
# Dx: 445118002,284470004,284470004
# Rx: Unknown
# Hx: Unknown