Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E01951 12 500 5000
E01951.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21330 0 I
E01951.mat 16x1+24 1000.0(0)/mV 16 0 -58 30405 0 II
E01951.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13868 0 III
E01951.mat 16x1+24 1000.0(0)/mV 16 0 53 27993 0 aVR
E01951.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3943 0 aVL
E01951.mat 16x1+24 1000.0(0)/mV 16 0 -34 -24411 0 aVF
E01951.mat 16x1+24 1000.0(0)/mV 16 0 87 -20181 0 V1
E01951.mat 16x1+24 1000.0(0)/mV 16 0 78 18951 0 V2
E01951.mat 16x1+24 1000.0(0)/mV 16 0 29 -30188 0 V3
E01951.mat 16x1+24 1000.0(0)/mV 16 0 29 -29870 0 V4
E01951.mat 16x1+24 1000.0(0)/mV 16 0 9 21361 0 V5
E01951.mat 16x1+24 1000.0(0)/mV 16 0 19 13671 0 V6
# Age: 70
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown