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

File: <base>/training/cpsc_2018_extra/g4/Q3222.hea (720 bytes) 
Q3222 12 500 5500
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 227 1243 0 I
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 120 -2195 0 II
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 -106 2062 0 III
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 -174 -2400 0 aVR
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 166 183 0 aVL
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 7 2742 0 aVF
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 14 -1930 0 V1
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 668 1929 0 V2
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 914 -2502 0 V3
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 856 218 0 V4
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 835 80 0 V5
Q3222.mat 16x1+24 1000.0(0)/mV 16 0 626 -676 0 V6
# Age: 74
# Sex: Male
# Dx: 284470004,164865005,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown