Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(750 bytes)
E09223 12 500 5000
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -19 27715 0 I
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28238 0 II
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -58 10418 0 III
E09223.mat 16x1+24 1000.0(0)/mV 16 0 48 -32526 0 aVR
E09223.mat 16x1+24 1000.0(0)/mV 16 0 19 -24422 0 aVL
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8853 0 aVF
E09223.mat 16x1+24 1000.0(0)/mV 16 0 29 -14514 0 V1
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17439 0 V2
E09223.mat 16x1+24 1000.0(0)/mV 16 0 9 -3020 0 V3
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -68 -22992 0 V4
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -68 424 0 V5
E09223.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11176 0 V6
# Age: 73
# Sex: Female
# Dx: 17338001,17338001,428750005,59931005,164890007
# Rx: Unknown
# Hx: Unknown