Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E07616 12 500 5000
E07616.mat 16x1+24 1000.0(0)/mV 16 0 14 20043 0 I
E07616.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14630 0 II
E07616.mat 16x1+24 1000.0(0)/mV 16 0 -82 30806 0 III
E07616.mat 16x1+24 1000.0(0)/mV 16 0 26 -2630 0 aVR
E07616.mat 16x1+24 1000.0(0)/mV 16 0 48 27236 0 aVL
E07616.mat 16x1+24 1000.0(0)/mV 16 0 -75 -24537 0 aVF
E07616.mat 16x1+24 1000.0(0)/mV 16 0 87 16126 0 V1
E07616.mat 16x1+24 1000.0(0)/mV 16 0 258 14553 0 V2
E07616.mat 16x1+24 1000.0(0)/mV 16 0 234 11477 0 V3
E07616.mat 16x1+24 1000.0(0)/mV 16 0 29 -3811 0 V4
E07616.mat 16x1+24 1000.0(0)/mV 16 0 -185 4016 0 V5
E07616.mat 16x1+24 1000.0(0)/mV 16 0 -229 2498 0 V6
# Age: 57
# Sex: Male
# Dx: 164873001,164931005
# Rx: Unknown
# Hx: Unknown