Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E01347 12 500 5000
E01347.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21146 0 I
E01347.mat 16x1+24 1000.0(0)/mV 16 0 0 -22680 0 II
E01347.mat 16x1+24 1000.0(0)/mV 16 0 9 -1628 0 III
E01347.mat 16x1+24 1000.0(0)/mV 16 0 4 -10858 0 aVR
E01347.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9148 0 aVL
E01347.mat 16x1+24 1000.0(0)/mV 16 0 4 20845 0 aVF
E01347.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15523 0 V1
E01347.mat 16x1+24 1000.0(0)/mV 16 0 78 15351 0 V2
E01347.mat 16x1+24 1000.0(0)/mV 16 0 107 -18372 0 V3
E01347.mat 16x1+24 1000.0(0)/mV 16 0 107 7848 0 V4
E01347.mat 16x1+24 1000.0(0)/mV 16 0 204 27503 0 V5
E01347.mat 16x1+24 1000.0(0)/mV 16 0 126 2361 0 V6
# Age: 48
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown