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

File: <base>/training/cpsc_2018_extra/g4/Q3214.hea (674 bytes) 
Q3214 12 500 5000
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -58 8 0 I
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 44 11 0 II
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 102 -32 0 III
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 6 26 0 aVR
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -80 7 0 aVL
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 73 -46 0 aVF
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 13 57 0 V1
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -17 138 0 V2
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -2 183 0 V3
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -13 151 0 V4
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -24 34 0 V5
Q3214.mat 16x1+24 1000.0(0)/mV 16 0 -43 62 0 V6
# Age: 82
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown