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

File: <base>/training/cpsc_2018_extra/g4/Q3133.hea (723 bytes) 
Q3133 12 500 16000
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 119 -3306 0 I
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 44 2641 0 II
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 -75 5947 0 III
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 -81 345 0 aVR
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 97 3819 0 aVL
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 -16 -3487 0 aVF
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 -113 -6846 0 V1
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 2 3027 0 V2
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 168 1866 0 V3
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 183 -6144 0 V4
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 178 4196 0 V5
Q3133.mat 16x1+24 1000.0(0)/mV 16 0 181 -2117 0 V6
# Age: 50
# Sex: Male
# Dx: 164873001,428750005,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown