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

File: <base>/training/cpsc_2018_extra/g3/Q3105.hea (734 bytes) 
Q3105 12 500 8500
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -99 3035 0 I
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -133 -3338 0 II
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -33 2127 0 III
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 116 -157 0 aVR
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -33 1067 0 aVL
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -83 35 0 aVF
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 41 3543 0 V1
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -66 3518 0 V2
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -155 -4197 0 V3
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -150 4147 0 V4
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -152 3784 0 V5
Q3105.mat 16x1+24 1000.0(0)/mV 16 0 -125 1695 0 V6
# Age: 55
# Sex: Male
# Dx: 427172004,54329005,164865005,164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown