Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(739 bytes)
E03405 12 500 5000
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -68 -25359 0 I
E03405.mat 16x1+24 1000.0(0)/mV 16 0 0 -24471 0 II
E03405.mat 16x1+24 1000.0(0)/mV 16 0 68 346 0 III
E03405.mat 16x1+24 1000.0(0)/mV 16 0 34 24922 0 aVR
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -68 -12732 0 aVL
E03405.mat 16x1+24 1000.0(0)/mV 16 0 34 -11993 0 aVF
E03405.mat 16x1+24 1000.0(0)/mV 16 0 48 18460 0 V1
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -39 13984 0 V2
E03405.mat 16x1+24 1000.0(0)/mV 16 0 78 -19072 0 V3
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -39 28681 0 V4
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -58 26165 0 V5
E03405.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30930 0 V6
# Age: 54
# Sex: Male
# Dx: 427084000,425623009,251146004,164934002
# Rx: Unknown
# Hx: Unknown