Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(765 bytes)
E00489 12 500 5000
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -48 3273 0 I
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2275 0 II
E00489.mat 16x1+24 1000.0(0)/mV 16 0 19 -6080 0 III
E00489.mat 16x1+24 1000.0(0)/mV 16 0 39 -654 0 aVR
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -34 4815 0 aVL
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4331 0 aVF
E00489.mat 16x1+24 1000.0(0)/mV 16 0 68 -12154 0 V1
E00489.mat 16x1+24 1000.0(0)/mV 16 0 107 -31206 0 V2
E00489.mat 16x1+24 1000.0(0)/mV 16 0 48 -3809 0 V3
E00489.mat 16x1+24 1000.0(0)/mV 16 0 146 -18458 0 V4
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10630 0 V5
E00489.mat 16x1+24 1000.0(0)/mV 16 0 -117 -657 0 V6
# Age: 66
# Sex: Female
# Dx: 67741000119109,427084000,425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown