Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(676 bytes)
A5365 12 500 7531
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -34 64 0 I
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -22 62 0 II
A5365.mat 16x1+24 1000.0(0)/mV 16 0 12 -19 0 III
A5365.mat 16x1+24 1000.0(0)/mV 16 0 27 -37 0 aVR
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -23 39 0 aVL
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -4 18 0 aVF
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -31 -51 0 V1
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -70 77 0 V2
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -7 -4 0 V3
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -60 23 0 V4
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -149 -8 0 V5
A5365.mat 16x1+24 1000.0(0)/mV 16 0 -53 32 0 V6
# Age: 79
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown