Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(731 bytes)
E01414 12 500 5000
E01414.mat 16x1+24 1000.0(0)/mV 16 0 253 -26542 0 I
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27039 0 II
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -292 -391 0 III
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -107 26742 0 aVR
E01414.mat 16x1+24 1000.0(0)/mV 16 0 273 19861 0 aVL
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -165 19146 0 aVF
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -585 4637 0 V1
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -536 -14710 0 V2
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -302 -25920 0 V3
E01414.mat 16x1+24 1000.0(0)/mV 16 0 -165 -13129 0 V4
E01414.mat 16x1+24 1000.0(0)/mV 16 0 9 30133 0 V5
E01414.mat 16x1+24 1000.0(0)/mV 16 0 29 -31632 0 V6
# Age: 42
# Sex: Female
# Dx: 59118001,425419005
# Rx: Unknown
# Hx: Unknown