Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(754 bytes)
E04789 12 500 5000
E04789.mat 16x1+24 1000.0(0)/mV 16 0 87 -11127 0 I
E04789.mat 16x1+24 1000.0(0)/mV 16 0 68 -21067 0 II
E04789.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10574 0 III
E04789.mat 16x1+24 1000.0(0)/mV 16 0 -78 16048 0 aVR
E04789.mat 16x1+24 1000.0(0)/mV 16 0 53 -1 0 aVL
E04789.mat 16x1+24 1000.0(0)/mV 16 0 24 -15857 0 aVF
E04789.mat 16x1+24 1000.0(0)/mV 16 0 19 -5224 0 V1
E04789.mat 16x1+24 1000.0(0)/mV 16 0 107 -9991 0 V2
E04789.mat 16x1+24 1000.0(0)/mV 16 0 68 -20416 0 V3
E04789.mat 16x1+24 1000.0(0)/mV 16 0 97 -20635 0 V4
E04789.mat 16x1+24 1000.0(0)/mV 16 0 107 -28811 0 V5
E04789.mat 16x1+24 1000.0(0)/mV 16 0 -9 7438 0 V6
# Age: 45
# Sex: Female
# Dx: 445118002,67741000119109,111975006,164930006,425623009
# Rx: Unknown
# Hx: Unknown