Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
Q0800 12 500 5000
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 20 17 0 I
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 21 13 0 II
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 1 4 0 III
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 -20 -9 0 aVR
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 9 -12 0 aVL
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 10 -21 0 aVF
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17 0 V1
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 3 -15 0 V2
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 9 10 0 V3
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 3 -12 0 V4
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 -14 -3 0 V5
Q0800.mat 16x1+24 1000.0(0)/mV 16 0 -2 13 0 V6
# Age: 70
# Sex: Male
# Dx: 713426002,27885002,427172004,713427006,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown