Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E01800 12 500 5000
E01800.mat 16x1+24 1000.0(0)/mV 16 0 68 27543 0 I
E01800.mat 16x1+24 1000.0(0)/mV 16 0 136 -29712 0 II
E01800.mat 16x1+24 1000.0(0)/mV 16 0 68 8289 0 III
E01800.mat 16x1+24 1000.0(0)/mV 16 0 -102 -31597 0 aVR
E01800.mat 16x1+24 1000.0(0)/mV 16 0 0 9798 0 aVL
E01800.mat 16x1+24 1000.0(0)/mV 16 0 102 22030 0 aVF
E01800.mat 16x1+24 1000.0(0)/mV 16 0 -9 23203 0 V1
E01800.mat 16x1+24 1000.0(0)/mV 16 0 87 -5923 0 V2
E01800.mat 16x1+24 1000.0(0)/mV 16 0 58 -8853 0 V3
E01800.mat 16x1+24 1000.0(0)/mV 16 0 107 -154 0 V4
E01800.mat 16x1+24 1000.0(0)/mV 16 0 58 -15567 0 V5
E01800.mat 16x1+24 1000.0(0)/mV 16 0 117 -11512 0 V6
# Age: 83
# Sex: Female
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown