Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(676 bytes)
A4367 12 500 5000
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -3 -63 0 I
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -88 -83 0 II
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -85 -4 0 III
A4367.mat 16x1+24 1000.0(0)/mV 16 0 46 87 0 aVR
A4367.mat 16x1+24 1000.0(0)/mV 16 0 41 -38 0 aVL
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -87 -51 0 aVF
A4367.mat 16x1+24 1000.0(0)/mV 16 0 28 -178 0 V1
A4367.mat 16x1+24 1000.0(0)/mV 16 0 69 -151 0 V2
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -15 10 0 V3
A4367.mat 16x1+24 1000.0(0)/mV 16 0 -25 31 0 V4
A4367.mat 16x1+24 1000.0(0)/mV 16 0 70 54 0 V5
A4367.mat 16x1+24 1000.0(0)/mV 16 0 25 5 0 V6
# Age: 74
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown