Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(701 bytes)
A3165 12 500 15000
A3165.mat 16x1+24 1000.0(0)/mV 16 0 -100 4221 0 I
A3165.mat 16x1+24 1000.0(0)/mV 16 0 58 -7070 0 II
A3165.mat 16x1+24 1000.0(0)/mV 16 0 159 3709 0 III
A3165.mat 16x1+24 1000.0(0)/mV 16 0 21 -215 0 aVR
A3165.mat 16x1+24 1000.0(0)/mV 16 0 -129 3302 0 aVL
A3165.mat 16x1+24 1000.0(0)/mV 16 0 108 -947 0 aVF
A3165.mat 16x1+24 1000.0(0)/mV 16 0 45 5527 0 V1
A3165.mat 16x1+24 1000.0(0)/mV 16 0 15 -4404 0 V2
A3165.mat 16x1+24 1000.0(0)/mV 16 0 15 5308 0 V3
A3165.mat 16x1+24 1000.0(0)/mV 16 0 73 3088 0 V4
A3165.mat 16x1+24 1000.0(0)/mV 16 0 227 -5389 0 V5
A3165.mat 16x1+24 1000.0(0)/mV 16 0 167 2992 0 V6
# Age: 66
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown