Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(696 bytes)
A0135 12 500 5000
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -94 -256 0 I
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -40 440 0 II
A0135.mat 16x1+24 1000.0(0)/mV 16 0 54 696 0 III
A0135.mat 16x1+24 1000.0(0)/mV 16 0 67 -675 0 aVR
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -73 1757 0 aVL
A0135.mat 16x1+24 1000.0(0)/mV 16 0 6 -1388 0 aVF
A0135.mat 16x1+24 1000.0(0)/mV 16 0 60 -1167 0 V1
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -34 1091 0 V2
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -52 -720 0 V3
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -121 165 0 V4
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -55 -780 0 V5
A0135.mat 16x1+24 1000.0(0)/mV 16 0 -42 -2128 0 V6
# Age: 56
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown