Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
A0545 12 500 12500
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -20 -11 0 I
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -46 -3917 0 II
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -26 -3906 0 III
A0545.mat 16x1+24 1000.0(0)/mV 16 0 32 266 0 aVR
A0545.mat 16x1+24 1000.0(0)/mV 16 0 2 -2903 0 aVL
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -36 3295 0 aVF
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -79 -5397 0 V1
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -68 -4435 0 V2
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -36 -2103 0 V3
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -24 -3883 0 V4
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2263 0 V5
A0545.mat 16x1+24 1000.0(0)/mV 16 0 -24 -5858 0 V6
# Age: 84
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown