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

File: <base>/training/cpsc_2018_extra/g4/Q3372.hea (673 bytes) 
Q3372 12 500 5500
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -22 30 0 I
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9 0 II
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -13 27 0 III
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 28 18 0 aVR
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -4 33 0 aVL
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -24 9 0 aVF
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 10 21 0 V1
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -33 32 0 V2
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -52 -2 0 V3
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -53 9 0 V4
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -45 -4 0 V5
Q3372.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11 0 V6
# Age: 31
# Sex: Male
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown