Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(725 bytes)
E09466 12 500 5000
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 15213 0 I
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 5420 0 II
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 -9574 0 III
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 -10459 0 aVR
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 12364 0 aVL
E09466.mat 16x1+24 1000.0(0)/mV 16 0 0 -2136 0 aVF
E09466.mat 16x1+24 1000.0(0)/mV 16 0 39 -10297 0 V1
E09466.mat 16x1+24 1000.0(0)/mV 16 0 58 -3826 0 V2
E09466.mat 16x1+24 1000.0(0)/mV 16 0 58 3215 0 V3
E09466.mat 16x1+24 1000.0(0)/mV 16 0 39 12867 0 V4
E09466.mat 16x1+24 1000.0(0)/mV 16 0 87 -18067 0 V5
E09466.mat 16x1+24 1000.0(0)/mV 16 0 39 -5886 0 V6
# Age: 71
# Sex: Male
# Dx: 426177001,425623009,164934002,111975006
# Rx: Unknown
# Hx: Unknown