Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E00014 12 500 5000
E00014.mat 16x1+24 1000.0(0)/mV 16 0 9 -12337 0 I
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -19 28429 0 II
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24145 0 III
E00014.mat 16x1+24 1000.0(0)/mV 16 0 4 24682 0 aVR
E00014.mat 16x1+24 1000.0(0)/mV 16 0 19 5654 0 aVL
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -24 -30569 0 aVF
E00014.mat 16x1+24 1000.0(0)/mV 16 0 0 -16347 0 V1
E00014.mat 16x1+24 1000.0(0)/mV 16 0 9 -1097 0 V2
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9759 0 V3
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5207 0 V4
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -29 27174 0 V5
E00014.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22494 0 V6
# Age: 71
# Sex: Male
# Dx: 428750005,426177001,111975006
# Rx: Unknown
# Hx: Unknown