Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(670 bytes)
Q0099 12 500 5000
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 27 9 0 I
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 78 12 0 II
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 52 10 0 III
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 -52 26 0 aVR
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 -12 -14 0 aVL
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 66 -5 0 aVF
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 53 14 0 V1
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 136 19 0 V2
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 104 31 0 V3
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 113 23 0 V4
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 90 14 0 V5
Q0099.mat 16x1+24 1000.0(0)/mV 16 0 63 19 0 V6
# Age: 56
# Sex: Male
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown