Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(751 bytes)
E09079 12 500 5000
E09079.mat 16x1+24 1000.0(0)/mV 16 0 107 23245 0 I
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4349 0 II
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -117 -27771 0 III
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9334 0 aVR
E09079.mat 16x1+24 1000.0(0)/mV 16 0 112 25453 0 aVL
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -63 -16108 0 aVF
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -146 -21974 0 V1
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -146 -4101 0 V2
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -117 -20251 0 V3
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -68 12383 0 V4
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -68 27630 0 V5
E09079.mat 16x1+24 1000.0(0)/mV 16 0 -39 13634 0 V6
# Age: 54
# Sex: Female
# Dx: 111975006,164930006,425419005,164934002
# Rx: Unknown
# Hx: Unknown