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

File: <base>/training/cpsc_2018_extra/g4/Q3322.hea (696 bytes) 
Q3322 12 500 5000
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -36 -40 0 I
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -6 -25 0 II
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 31 -8 0 III
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 21 -46 0 aVR
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -33 52 0 aVL
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 12 -26 0 aVF
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 22 21 0 V1
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -24 19 0 V2
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 51 -32 0 V3
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -183 32 0 V4
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -29 49 0 V5
Q3322.mat 16x1+24 1000.0(0)/mV 16 0 -69 5 0 V6
# Age: 63
# Sex: Male
# Dx: 413844008,164867002,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown