Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/cpsc_2018_extra/g4/Q3183.hea (715 bytes) 
Q3183 12 500 5000
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 8 25 0 I
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25 0 II
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -38 -9 0 III
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 11 -11 0 aVR
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 24 21 0 aVL
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -33 -38 0 aVF
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -35 -13 0 V1
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -267 -99 0 V2
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -342 -68 0 V3
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -194 -17 0 V4
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -105 -1 0 V5
Q3183.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3 0 V6
# Age: 87
# Sex: Female
# Dx: 54329005,164867002,164865005,427084000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown