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

File: <base>/training/cpsc_2018_extra/g1/Q0409.hea (711 bytes) 
Q0409 12 500 10000
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -84 4627 0 I
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 30 2411 0 II
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 114 -2216 0 III
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 28 4975 0 aVR
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -99 -313 0 aVL
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 72 3912 0 aVF
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 169 -1076 0 V1
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -16 -2019 0 V2
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -49 250 0 V3
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -7 3447 0 V4
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -17 3299 0 V5
Q0409.mat 16x1+24 1000.0(0)/mV 16 0 -43 -4749 0 V6
# Age: 67
# Sex: Male
# Dx: 428750005,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown