Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E01291 12 500 5000
E01291.mat 16x1+24 1000.0(0)/mV 16 0 58 11637 0 I
E01291.mat 16x1+24 1000.0(0)/mV 16 0 68 -26939 0 II
E01291.mat 16x1+24 1000.0(0)/mV 16 0 9 27304 0 III
E01291.mat 16x1+24 1000.0(0)/mV 16 0 -63 7680 0 aVR
E01291.mat 16x1+24 1000.0(0)/mV 16 0 24 24825 0 aVL
E01291.mat 16x1+24 1000.0(0)/mV 16 0 39 -32617 0 aVF
E01291.mat 16x1+24 1000.0(0)/mV 16 0 97 -16691 0 V1
E01291.mat 16x1+24 1000.0(0)/mV 16 0 -9 17885 0 V2
E01291.mat 16x1+24 1000.0(0)/mV 16 0 19 14756 0 V3
E01291.mat 16x1+24 1000.0(0)/mV 16 0 -136 -23098 0 V4
E01291.mat 16x1+24 1000.0(0)/mV 16 0 0 21155 0 V5
E01291.mat 16x1+24 1000.0(0)/mV 16 0 29 -27430 0 V6
# Age: 29
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown