Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E09514 12 500 5000
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -92 -4880 0 I
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -219 -31678 0 II
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -126 -26915 0 III
E09514.mat 16x1+24 1000.0(0)/mV 16 0 156 -14466 0 aVR
E09514.mat 16x1+24 1000.0(0)/mV 16 0 17 -21662 0 aVL
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -173 -29004 0 aVF
E09514.mat 16x1+24 1000.0(0)/mV 16 0 97 23278 0 V1
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -268 -585 0 V2
E09514.mat 16x1+24 1000.0(0)/mV 16 0 43 28030 0 V3
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -170 -4853 0 V4
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -87 -918 0 V5
E09514.mat 16x1+24 1000.0(0)/mV 16 0 -73 21726 0 V6
# Age: 74
# Sex: Male
# Dx: 111975006,164873001
# Rx: Unknown
# Hx: Unknown