Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(708 bytes)
E03386 12 500 5000
E03386.mat 16x1+24 1000.0(0)/mV 16 0 -29 22991 0 I
E03386.mat 16x1+24 1000.0(0)/mV 16 0 9 26254 0 II
E03386.mat 16x1+24 1000.0(0)/mV 16 0 39 3180 0 III
E03386.mat 16x1+24 1000.0(0)/mV 16 0 9 -24573 0 aVR
E03386.mat 16x1+24 1000.0(0)/mV 16 0 -34 -22581 0 aVL
E03386.mat 16x1+24 1000.0(0)/mV 16 0 24 -17880 0 aVF
E03386.mat 16x1+24 1000.0(0)/mV 16 0 39 5703 0 V1
E03386.mat 16x1+24 1000.0(0)/mV 16 0 48 -18942 0 V2
E03386.mat 16x1+24 1000.0(0)/mV 16 0 78 -28396 0 V3
E03386.mat 16x1+24 1000.0(0)/mV 16 0 19 19507 0 V4
E03386.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31678 0 V5
E03386.mat 16x1+24 1000.0(0)/mV 16 0 -68 14619 0 V6
# Age: 65
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown