Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E01147 12 500 5000
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -82 -30920 0 I
E01147.mat 16x1+24 1000.0(0)/mV 16 0 4 -16094 0 II
E01147.mat 16x1+24 1000.0(0)/mV 16 0 87 14318 0 III
E01147.mat 16x1+24 1000.0(0)/mV 16 0 39 23493 0 aVR
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -85 -22378 0 aVL
E01147.mat 16x1+24 1000.0(0)/mV 16 0 46 -547 0 aVF
E01147.mat 16x1+24 1000.0(0)/mV 16 0 14 18418 0 V1
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -87 18479 0 V2
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -43 10624 0 V3
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -34 30990 0 V4
E01147.mat 16x1+24 1000.0(0)/mV 16 0 4 -15747 0 V5
E01147.mat 16x1+24 1000.0(0)/mV 16 0 -87 -21656 0 V6
# Age: 81
# Sex: Male
# Dx: 713426002,251268003
# Rx: Unknown
# Hx: Unknown