Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(763 bytes)
E06751 12 500 5000
E06751.mat 16x1+24 1000.0(0)/mV 16 0 19 -25332 0 I
E06751.mat 16x1+24 1000.0(0)/mV 16 0 48 27002 0 II
E06751.mat 16x1+24 1000.0(0)/mV 16 0 29 -13971 0 III
E06751.mat 16x1+24 1000.0(0)/mV 16 0 -34 32068 0 aVR
E06751.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5461 0 aVL
E06751.mat 16x1+24 1000.0(0)/mV 16 0 39 -26429 0 aVF
E06751.mat 16x1+24 1000.0(0)/mV 16 0 19 -24027 0 V1
E06751.mat 16x1+24 1000.0(0)/mV 16 0 117 -28592 0 V2
E06751.mat 16x1+24 1000.0(0)/mV 16 0 78 -13805 0 V3
E06751.mat 16x1+24 1000.0(0)/mV 16 0 58 -19131 0 V4
E06751.mat 16x1+24 1000.0(0)/mV 16 0 48 -14750 0 V5
E06751.mat 16x1+24 1000.0(0)/mV 16 0 39 -17253 0 V6
# Age: 88
# Sex: Female
# Dx: 426761007,428750005,164934002,164890007,284470004,284470004
# Rx: Unknown
# Hx: Unknown