Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(745 bytes)
E01928 12 500 5000
E01928.mat 16x1+24 1000.0(0)/mV 16 0 -175 -29148 0 I
E01928.mat 16x1+24 1000.0(0)/mV 16 0 -136 -20540 0 II
E01928.mat 16x1+24 1000.0(0)/mV 16 0 39 8649 0 III
E01928.mat 16x1+24 1000.0(0)/mV 16 0 156 -8107 0 aVR
E01928.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19207 0 aVL
E01928.mat 16x1+24 1000.0(0)/mV 16 0 -48 26960 0 aVF
E01928.mat 16x1+24 1000.0(0)/mV 16 0 117 4171 0 V1
E01928.mat 16x1+24 1000.0(0)/mV 16 0 175 3487 0 V2
E01928.mat 16x1+24 1000.0(0)/mV 16 0 87 -24793 0 V3
E01928.mat 16x1+24 1000.0(0)/mV 16 0 48 327 0 V4
E01928.mat 16x1+24 1000.0(0)/mV 16 0 0 9098 0 V5
E01928.mat 16x1+24 1000.0(0)/mV 16 0 -39 18663 0 V6
# Age: 48
# Sex: Female
# Dx: 67741000119109,111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown