Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(718 bytes)
E01689 12 500 5000
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -48 -3359 0 I
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -87 -9943 0 II
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6290 0 III
E01689.mat 16x1+24 1000.0(0)/mV 16 0 68 -26152 0 aVR
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -4 2061 0 aVL
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -63 24678 0 aVF
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -29 21490 0 V1
E01689.mat 16x1+24 1000.0(0)/mV 16 0 68 -2394 0 V2
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31811 0 V3
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28334 0 V4
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -78 28198 0 V5
E01689.mat 16x1+24 1000.0(0)/mV 16 0 -9 22360 0 V6
# Age: 54
# Sex: Male
# Dx: 713426002,39732003
# Rx: Unknown
# Hx: Unknown