Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(708 bytes)
E01295 12 500 5000
E01295.mat 16x1+24 1000.0(0)/mV 16 0 68 30932 0 I
E01295.mat 16x1+24 1000.0(0)/mV 16 0 -68 6137 0 II
E01295.mat 16x1+24 1000.0(0)/mV 16 0 -136 -24881 0 III
E01295.mat 16x1+24 1000.0(0)/mV 16 0 0 -19078 0 aVR
E01295.mat 16x1+24 1000.0(0)/mV 16 0 102 -5436 0 aVL
E01295.mat 16x1+24 1000.0(0)/mV 16 0 -102 23359 0 aVF
E01295.mat 16x1+24 1000.0(0)/mV 16 0 39 28069 0 V1
E01295.mat 16x1+24 1000.0(0)/mV 16 0 48 10862 0 V2
E01295.mat 16x1+24 1000.0(0)/mV 16 0 -48 12774 0 V3
E01295.mat 16x1+24 1000.0(0)/mV 16 0 68 -17529 0 V4
E01295.mat 16x1+24 1000.0(0)/mV 16 0 -29 12506 0 V5
E01295.mat 16x1+24 1000.0(0)/mV 16 0 9 -6483 0 V6
# Age: 57
# Sex: Male
# Dx: 698252002
# Rx: Unknown
# Hx: Unknown