Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(759 bytes)
E02881 12 500 5000
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -195 -5158 0 I
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -253 -17262 0 II
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -58 -12799 0 III
E02881.mat 16x1+24 1000.0(0)/mV 16 0 224 11297 0 aVR
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -68 3923 0 aVL
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -156 -14828 0 aVF
E02881.mat 16x1+24 1000.0(0)/mV 16 0 624 -30883 0 V1
E02881.mat 16x1+24 1000.0(0)/mV 16 0 566 -28352 0 V2
E02881.mat 16x1+24 1000.0(0)/mV 16 0 9 25713 0 V3
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -234 -25717 0 V4
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -244 -26784 0 V5
E02881.mat 16x1+24 1000.0(0)/mV 16 0 -244 -31451 0 V6
# Age: 43
# Sex: Male
# Dx: 17338001,17338001,59118001,39732003,427084000
# Rx: Unknown
# Hx: Unknown