Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E08023 12 500 5000
E08023.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14383 0 I
E08023.mat 16x1+24 1000.0(0)/mV 16 0 0 -24302 0 II
E08023.mat 16x1+24 1000.0(0)/mV 16 0 29 -10219 0 III
E08023.mat 16x1+24 1000.0(0)/mV 16 0 14 19362 0 aVR
E08023.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1846 0 aVL
E08023.mat 16x1+24 1000.0(0)/mV 16 0 14 -17338 0 aVF
E08023.mat 16x1+24 1000.0(0)/mV 16 0 29 -8743 0 V1
E08023.mat 16x1+24 1000.0(0)/mV 16 0 9 2310 0 V2
E08023.mat 16x1+24 1000.0(0)/mV 16 0 9 -22681 0 V3
E08023.mat 16x1+24 1000.0(0)/mV 16 0 0 -22437 0 V4
E08023.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18662 0 V5
E08023.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23123 0 V6
# Age: 79
# Sex: Female
# Dx: 251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown