Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(728 bytes)
E08451 12 500 5000
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -312 -2641 0 I
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -390 -11668 0 II
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -78 -9039 0 III
E08451.mat 16x1+24 1000.0(0)/mV 16 0 351 7198 0 aVR
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -117 2949 0 aVL
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -234 -10357 0 aVF
E08451.mat 16x1+24 1000.0(0)/mV 16 0 244 -11112 0 V1
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -390 967 0 V2
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -780 -29582 0 V3
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -585 7984 0 V4
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -605 -2753 0 V5
E08451.mat 16x1+24 1000.0(0)/mV 16 0 -419 -32191 0 V6
# Age: 48
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown