Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(774 bytes)
E04159 12 500 5000
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -244 22070 0 I
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -156 24946 0 II
E04159.mat 16x1+24 1000.0(0)/mV 16 0 87 2805 0 III
E04159.mat 16x1+24 1000.0(0)/mV 16 0 200 -23876 0 aVR
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -165 -23318 0 aVL
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -34 -18576 0 aVF
E04159.mat 16x1+24 1000.0(0)/mV 16 0 165 -16662 0 V1
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12938 0 V2
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29769 0 V3
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -234 -29774 0 V4
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -322 19512 0 V5
E04159.mat 16x1+24 1000.0(0)/mV 16 0 -400 13376 0 V6
# Age: 80
# Sex: Female
# Dx: 111975006,164930006,428750005,164890007,233917008,164873001
# Rx: Unknown
# Hx: Unknown