Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
E05124 12 500 5000
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -87 -19036 0 I
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -87 -671 0 II
E05124.mat 16x1+24 1000.0(0)/mV 16 0 0 18141 0 III
E05124.mat 16x1+24 1000.0(0)/mV 16 0 87 9860 0 aVR
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -43 -18355 0 aVL
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -43 8960 0 aVF
E05124.mat 16x1+24 1000.0(0)/mV 16 0 273 -9843 0 V1
E05124.mat 16x1+24 1000.0(0)/mV 16 0 341 -322 0 V2
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -9 -15330 0 V3
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -97 -31423 0 V4
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30722 0 V5
E05124.mat 16x1+24 1000.0(0)/mV 16 0 -78 29343 0 V6
# Age: 50
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown