Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(764 bytes)
E03014 12 500 5000
E03014.mat 16x1+24 1000.0(0)/mV 16 0 58 -15922 0 I
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -34 -8296 0 II
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -92 7820 0 III
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -12 -20635 0 aVR
E03014.mat 16x1+24 1000.0(0)/mV 16 0 75 -11672 0 aVL
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -63 32634 0 aVF
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -24 -6225 0 V1
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23699 0 V2
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -73 -17109 0 V3
E03014.mat 16x1+24 1000.0(0)/mV 16 0 43 -22256 0 V4
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -97 21464 0 V5
E03014.mat 16x1+24 1000.0(0)/mV 16 0 -39 14851 0 V6
# Age: 47
# Sex: Female
# Dx: 713426002,59118001,164930006,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown