Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(716 bytes)
E09420 12 500 5000
E09420.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11497 0 I
E09420.mat 16x1+24 1000.0(0)/mV 16 0 9 -10453 0 II
E09420.mat 16x1+24 1000.0(0)/mV 16 0 87 2455 0 III
E09420.mat 16x1+24 1000.0(0)/mV 16 0 34 -21714 0 aVR
E09420.mat 16x1+24 1000.0(0)/mV 16 0 -82 -7479 0 aVL
E09420.mat 16x1+24 1000.0(0)/mV 16 0 48 28884 0 aVF
E09420.mat 16x1+24 1000.0(0)/mV 16 0 68 13688 0 V1
E09420.mat 16x1+24 1000.0(0)/mV 16 0 97 20859 0 V2
E09420.mat 16x1+24 1000.0(0)/mV 16 0 117 -1758 0 V3
E09420.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5264 0 V4
E09420.mat 16x1+24 1000.0(0)/mV 16 0 -68 22593 0 V5
E09420.mat 16x1+24 1000.0(0)/mV 16 0 39 -9469 0 V6
# Age: 58
# Sex: Male
# Dx: 270492004,164934002
# Rx: Unknown
# Hx: Unknown