Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E00627 12 500 5000
E00627.mat 16x1+24 1000.0(0)/mV 16 0 -29 22692 0 I
E00627.mat 16x1+24 1000.0(0)/mV 16 0 0 15069 0 II
E00627.mat 16x1+24 1000.0(0)/mV 16 0 29 -7265 0 III
E00627.mat 16x1+24 1000.0(0)/mV 16 0 14 13740 0 aVR
E00627.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18297 0 aVL
E00627.mat 16x1+24 1000.0(0)/mV 16 0 14 3802 0 aVF
E00627.mat 16x1+24 1000.0(0)/mV 16 0 48 -8617 0 V1
E00627.mat 16x1+24 1000.0(0)/mV 16 0 -58 12702 0 V2
E00627.mat 16x1+24 1000.0(0)/mV 16 0 -78 17858 0 V3
E00627.mat 16x1+24 1000.0(0)/mV 16 0 29 -8434 0 V4
E00627.mat 16x1+24 1000.0(0)/mV 16 0 39 29664 0 V5
E00627.mat 16x1+24 1000.0(0)/mV 16 0 39 10526 0 V6
# Age: 79
# Sex: Male
# Dx: 59118001,39732003
# Rx: Unknown
# Hx: Unknown