Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E01386 12 500 5000
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20766 0 I
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18719 0 II
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -9 3421 0 III
E01386.mat 16x1+24 1000.0(0)/mV 16 0 14 20004 0 aVR
E01386.mat 16x1+24 1000.0(0)/mV 16 0 0 -11253 0 aVL
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -14 -7499 0 aVF
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10178 0 V1
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8554 0 V2
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16531 0 V3
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7336 0 V4
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8344 0 V5
E01386.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14281 0 V6
# Age: 53
# Sex: Male
# Dx: 67741000119109,425623009
# Rx: Unknown
# Hx: Unknown