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

File: <base>/training/cpsc_2018_extra/g4/Q3189.hea (682 bytes) 
Q3189 12 500 7086
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18 0 I
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 -13 -21 0 II
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 -4 -16 0 III
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 11 1 0 aVR
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 -2 -44 0 aVL
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 -8 -10 0 aVF
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 23 -56 0 V1
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 5 -68 0 V2
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 20 36 0 V3
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 32 23 0 V4
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 13 -3 0 V5
Q3189.mat 16x1+24 1000.0(0)/mV 16 0 81 -21 0 V6
# Age: 66
# Sex: Male
# Dx: 164865005,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown