Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
A6082 12 500 5500
A6082.mat 16x1+24 1000.0(0)/mV 16 0 842 313 0 I
A6082.mat 16x1+24 1000.0(0)/mV 16 0 106 2592 0 II
A6082.mat 16x1+24 1000.0(0)/mV 16 0 -736 2279 0 III
A6082.mat 16x1+24 1000.0(0)/mV 16 0 -473 -1845 0 aVR
A6082.mat 16x1+24 1000.0(0)/mV 16 0 790 2284 0 aVL
A6082.mat 16x1+24 1000.0(0)/mV 16 0 -315 -587 0 aVF
A6082.mat 16x1+24 1000.0(0)/mV 16 0 -273 -1044 0 V1
A6082.mat 16x1+24 1000.0(0)/mV 16 0 585 -2524 0 V2
A6082.mat 16x1+24 1000.0(0)/mV 16 0 740 -1124 0 V3
A6082.mat 16x1+24 1000.0(0)/mV 16 0 909 -874 0 V4
A6082.mat 16x1+24 1000.0(0)/mV 16 0 770 1985 0 V5
A6082.mat 16x1+24 1000.0(0)/mV 16 0 744 -271 0 V6
# Age: 59
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown