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

File: <base>/training/cpsc_2018_extra/g4/Q3509.hea (711 bytes) 
Q3509 12 500 13000
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -103 3774 0 I
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -114 -4078 0 II
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -10 5148 0 III
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 109 -315 0 aVR
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -46 106 0 aVL
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -61 1472 0 aVF
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 52 -2560 0 V1
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -663 -2152 0 V2
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -1028 -5723 0 V3
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -580 5325 0 V4
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -250 -633 0 V5
Q3509.mat 16x1+24 1000.0(0)/mV 16 0 -81 2609 0 V6
# Age: 60
# Sex: Male
# Dx: 164861001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown