Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E03712 12 500 5000
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15382 0 I
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21848 0 II
E03712.mat 16x1+24 1000.0(0)/mV 16 0 0 -5482 0 III
E03712.mat 16x1+24 1000.0(0)/mV 16 0 48 18552 0 aVR
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -24 -4395 0 aVL
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -24 -13469 0 aVF
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -29 24171 0 V1
E03712.mat 16x1+24 1000.0(0)/mV 16 0 107 -9060 0 V2
E03712.mat 16x1+24 1000.0(0)/mV 16 0 858 15553 0 V3
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -117 -29356 0 V4
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -126 -17608 0 V5
E03712.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30061 0 V6
# Age: 69
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown