Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(669 bytes)
A0929 12 500 5000
A0929.mat 16x1+24 1000.0(0)/mV 16 0 52 12 0 I
A0929.mat 16x1+24 1000.0(0)/mV 16 0 71 18 0 II
A0929.mat 16x1+24 1000.0(0)/mV 16 0 19 22 0 III
A0929.mat 16x1+24 1000.0(0)/mV 16 0 -62 6 0 aVR
A0929.mat 16x1+24 1000.0(0)/mV 16 0 16 -2 0 aVL
A0929.mat 16x1+24 1000.0(0)/mV 16 0 45 16 0 aVF
A0929.mat 16x1+24 1000.0(0)/mV 16 0 -35 -6 0 V1
A0929.mat 16x1+24 1000.0(0)/mV 16 0 27 28 0 V2
A0929.mat 16x1+24 1000.0(0)/mV 16 0 120 4 0 V3
A0929.mat 16x1+24 1000.0(0)/mV 16 0 139 35 0 V4
A0929.mat 16x1+24 1000.0(0)/mV 16 0 102 5 0 V5
A0929.mat 16x1+24 1000.0(0)/mV 16 0 81 16 0 V6
# Age: 83
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown