Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(692 bytes)
Q0905 12 500 5499
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 34 340 0 I
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 45 1077 0 II
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 11 737 0 III
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 -39 2112 0 aVR
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 11 -1969 0 aVL
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 28 696 0 aVF
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 44 -43 0 V1
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 -47 1963 0 V2
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 -29 -885 0 V3
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 -16 -280 0 V4
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 33 -1412 0 V5
Q0905.mat 16x1+24 1000.0(0)/mV 16 0 11 -1089 0 V6
# Age: 55
# Sex: Male
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown